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Analysis of Boundary Layers through Computational Fluid Dynamics and Experimental analysis By Eugene O’Reilly, B.Eng This thesis is submitted as the fulfilment of the requirement for the award of degree of Master of Engineering Supervisors Dr Joseph Stokes and Dr Brian Corcoran School of Mechanical and Manufacturing Engineering, Dublin City University, Ireland. October 2006

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Page 1: Analysis of Boundary Layers through Computational Fluid ...doras.dcu.ie/18142/1/Eugene_O'Reilly.pdf · Analysis of Boundary Layers through Computational Fluid Dynamics and Experimental

Analysis of Boundary Layers through Computational Fluid Dynamics and Experimental analysisBy

Eugene O’Reilly, B.Eng

This thesis is submitted as the fulfilment of the requirement for the award of degree of Master of Engineering

Supervisors Dr Joseph Stokes and Dr Brian Corcoran

School of Mechanical and Manufacturing Engineering, Dublin City University,

Ireland.

October 2006

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DECLARATION

I hereby certify that this material, which I now submit for assessment on the programme o f study leading to the award o f Degree o f Master o f Engineering is entirely my own work and has not been taken from the work o f others save and to the extent that such work has been cited and acknowledged within the text o f my own work

Signed ID Number 99604434

Date 2 & j \ O j 2 Q O G

I

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ACKNOWLEDGEMENTS

I would like to thank Dr Joseph Stokes and Dr Brian Corcoran o f the School of Mechanical and Manufacturing Engineering, Dublin City University, for their advice and guidance through this work Their helpful discussions and availability to discuss any problems I was having has been the cornerstone o f this research

Thanks also, to Mr Michael May o f the School o f Mechanical and Manufacturing Engineering for his invaluable help and guidance in the design and construction o f the experimental equipment To Mr Cian Meme and Mr Eoin Tuohy o f the workshop for their technical advice and excellent work in the production o f the required parts and to Mr Keith Hickey for his help with all my software queries and computer issues

Thanks also to Mr Ben Austin and Mr David Cunningham o f the School o f Biotechnology DCU for their support, they always made themselves available to meet me and allowed me unrestricted use o f their School’s equipment whenever I asked

I am grateful to the Insh Research Council for Science and Engineering Technology (IRCSET), without whose funding this project would not have been made possible

Thanks to my parents, Eugene (Gene) and Nancy, they are truly responsible for every step of my education, they have encouraged me continually to do my best and always provided me with the means to achieve this Also to my sisters Orlagh and Elva for their friendship and offers to help in any way they could with my work

I must mention my housemates Robbie, Peter, Susan, Cathenne and Rosemary, they have been a constant source o f friendship for the past few years and have quite literally adopted me into their family and I am very happy to be an 4honorary-Flanagan’

Finally, Mary, who has stood by me through it all, she has been there to listen to me, advise me and always encouraged me when I was feeling low Your love and support are truly appreciated

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Analysis of Boundary Layers through Computational Fluid Dynamics andExperimental analysis

Eugene O ’Reilly Dublin City University, Dublin, Ireland

ABSTRACTB oundary layers, a lthough unnoticeable to the naked eye, are a ch aracte ristic found w here the velocity o f a fluid relative to a solid surface is zero , hence in the vicinity o f this surface a region o f velocity increases rap id ly from zero up to m ain stream velocity This has the undesirab le effect o f causing turbu len t flow over long surfaces, w hich reduce the perform ance o f m oving solids (exam ples be ing cyclists , au tom obiles, a ircrafts) by in troducing frictional d rag forces It has been noted tha t sk in -fn c tion drag is s trongly enhanced by the onset o f turbulence, how ever, in turn th is turbulence is also grea tly enhanced b y the separa tion o f the airflow In com bination th is lam inar flow separation and sk in -fn c tion drag decrease lift effects and/or increase pressure drag on aerodynam ic surfaces, resulting in decreased efficiency, tha t is, increased fuel consum ption This research aim s to exam ine the developm ent o f the boundary layer Specifically the study w ill look at the effects o f separation w ithin the boundary layer and on its im pact on the developm ent o f the boundary layer and other aspects o f the fluid flow

C om putational F lu id D ynam ics o r CFD is the analysis o f system s invo lving such phenom ena as fluid flow, by m eans o f co m puter-based sim ulation This technique is very pow erfu l an d spans a w ide range o f applications C FD has lagged beh ind o ther sim ulation techniques due to the com plex ity o f fluid flow behaviour H o w ever, th e availability o f affordable h igh pe rform an ce com putational hardw are and the in troduction o f user friend ly in terfaces, have led to a recent upsurge o f in terest in the developm ent o f CFD sim ulation packages such as F L U E N T U sing CFD a com putational m odel is bu ilt to represen t a system or device that is under investigation The advantages o f using C FD are to substan tia lly reduce lead tim es and costs o f new designs, also it is a m eans o f p red ic ting certain outcom es befo re m anufactu re

To conduct the experim ental stages o f th is research a w ind tunnel facility w as designed and constructed in- house In conjunction w ith this, 2D C FD m odels o f the w ind tunnel test section w ere developed T he wind tunnel facility w as then used to validate the read ings ob ta ined from the C FD m odels A num ber o f blunt p la te test p ieces w ere p laced in the w ind tunnel and the resu lting boundary layer developm ent across the test pieces w as m easu red A 2D C FD m odel was also constructed and the resu lts w ere consisten t w ith experim ental findings E xperim ental results revealed a reattachm ent o f the flow , w ith the surface o f the test p ieces, at a po in t o f x /d = 4 444 from the leading edge o f the test p iece

III

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TABLE OF CONTENTSPage

Declaration IAcknowledgements IIAbstract IIITable of Contents IVTable of Figures VIIList o f Tables XNomenclature XI

CHAPTER 1INTRODUCTION

CHAPTER 2LITERATURE SURVEY

2 1 INTRODUCTION 2 2 FLUID MECHANICS

2 2 1 Compressible and Incompressible flow 2 2 2 Fluid Flow Analysis 2 2 3 Laminar and Turbulent Flow 2 2 4 Bernoulli’s Equation

2 3 AERODYNAMICS 2 2 1 Lift2 2 2 Pressure and Lift 2 2 3 Drag 2 2 4 Aero factors 2 2 5 Performance 2 2 6 Stability 2 2 7 Cooling 2 2 8 Visibility2 2 9 Comfort

2 4 BOUNDARY LAYERS2 5 FLAT PLATE SEPARATION AND BOUNDARY LAYER CONTROL 2 6 BLUNT PLATE SEPARATION AND REATTACHMENT 2 7 CFD AND BOUNDARY LAYER ANALYSIS2 8 PRESENT RESEARCH OBJECTIVES

CHAPTER 3COMPUTATIONAL FLUID DYNAMICS

3 1 WHY USE CFD'?3 2 DEVELOPMENT OF CFD 3 3 GOVERNING EQUATIONS OF CFD

3 3 1 Finite Control Volume3 3 2 The Continuity Equation

1

33345557789

1112141515161724272829

303132333333

IV

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3 3 3 The Momentum Equation 343 4 CFD PROCEDURE 353 5 TURBULENCE MODELS 373 6 CFD SOLVERS 38

3 6 1 Meshmg of the geometry withm Gambit 38

CHAPTER 4DESIGN OF EXPERIMENTAL EQUIPMENT 40

4 1 DESIGN BRIEF 404 2 PRODUCT DESIGN SPECIFICATION 404 3 RESEARCH INTO THE AVAILABILITY AND COST OF ‘OFF THE SHELF5

WIND TUNNELS 424 4 INVESTIGATION OF POSSIBLE SOLUTIONS TO THE DESIGN PROBLEM

434 5 WIND TUNNEL DESIGN 45

4 5 1 Possible Wind Tunnel Designs 454 5 2 Open or Closed Test Section 464 5 3 Test Section Size 46

4 6 WIND TUNNEL CONCEPTUAL DESIGNS 484 6 1 Concept 1 484 6 2 Concept 2 494 6 3 Concept 3 50

4 7 CONCEPT ANALYSIS 524 7 1 Concept Evaluation 53

4 8 THE OPEN RETURN WIND TUNNEL 554 8 1 Weighted Decision Matrix 56

4 9 DETAILED DESIGN 584 9 1 Final Design 584 9 2 Development o f the Design 58

4 10 FLOW MEASUREMENT INSTRUMENTATION 6 8

4 10 1 Pressure 68

4 10 2 Velocity 694 10 3 Development o f the Instrumentation Equipment 71

4 11 EXPERIMENTAL PROCEDURE 744 1 1 1 Specification o f Test Pieces 744 112 Design o f Experimental Procedure 744 113 Analysis o f Leading Edge Region 76

CHAPTER 5RESULTS AND DISCUSSION 77

5 1 EXPERIMENTAL RESULTS 775 1 1 Comparison of Air Velocities 775 1 2 Boundary Layer Development Results - Part 1 795 1 3 Boundary Layer Development Results - Part 2 845 1 4 Separated Flow at Leading Edge 86

5 2 COMPUTATIONAL FLUID DYNAMICS RESULTS 88

V

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5 2 1 Generation of the model within Gambit 88

5 2 2 Import o f the model into FLUENT 895 2 3 Boundary Layer Development Profiles - Part 1 915 2 4 Boundary Layer Development Profiles - Part 2 98

5 3 COMPARISON OF RESULTS 1025 3 1 Boundary Layer Development 1 025 3 2 Separation and Re-attachment of the flow 104

CHAPTER 6CONCLUSIONS AND FUTURE WORK 105

6 1 CONCLUSIONS 1056 2 FUTURE WORK 1066 3 PUBLICATIONS AND PRESENTATIONS 107

REFERENCES 108APPENDICES 114

Appendix A A1Appendix B A2Appendix C A3Appendix D A 10Appendix E A15Appendix F A l 8

VI

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TABLE OF FIGURESCHA PTER 2. LITERA TU RE SURVEY................................................................Pages 3-29

Figure 2.1: Variation o f velocity with distance from a solid boundary....................................4Figure 2.2: Lift is generated when the airfoil is inclined to the direction of flow. The

direction o f the resultant force due to the pressure creates this lift.................................8

Figure 2.3: Pressure distribution around an airfoil......................................................................8

Figure 2.4: Values o f drag coefficient, Cd, for various body shapes.......................................9Figure 2.5: Contribution o f aerodynamics to vehicle performance and design................... 12Figure 2.6: The influence o f drag on max speed o f a car......................................................... 13Figure 2.7: The influence o f drag on acceleration o f a car...................................................... 13Figure 2.8: Development and variation o f velocity within the boundary layer on a flat

surface with no streamline pressure variation................................................................... 17Figure 2.9: Development o f the boundary layer........................................................................ 18Figure 2.10: Development o f a wake region behind a body immersed in a flow................19Figure 2.11: Boundary -Layer flow close to the separation point (S = separation point). 20 Figure 2.12: Shows the effect o f Prandtl’s trip wire on reducing the wake area and drag

behind a sphere....................................................................................................................... 2 1

Figure 2.13: Boundary layer blowing, (a) An exaggerated view o f blowing across an airfoil, (b) Shows the effect on the velocity distribution in the boundary layerdirectly after the slit for tangential blowing...................................................................... 2 2

Figure 2.14: Relative effectiveness in flow separation control versus device category....25 Figure 2.15: Low-profile VG height relative to the turbulent boundary layer velocity

profile........................................................................................................................................26Figure 2.16: Flow over a blunt plate............................................................................................27

CH A PTER 3. COM PUTATIONAL FLUID DYNAM ICS.............................Pages 30-40

Figure 3.1: FLUENT’s graphical user interface (GUI)............................................................31Figure 3.2: Gambit graphical user interface (GUI)...................................................................36

CH A PTER 4. DESIGN OF EXPERIM EN TA L E Q U IP M E N T .................. Pages 40-78Figure 4.1: An open circuit wind tunnel with a closed test section......................................45Figure 4.2: A plan view of a closed circuit wind tunnel, from the Carderock Division o f

Naval Surface Warfare Centre, USA..................................................................................46Figure 4.3: Blower type wind tunnel........................................................................................... 48Figure 4.4: Open circuit wind tunnel arrangement................................................................... 50Figure 4.5: Illustration o f a closed return wind tunnel............................................................. 51Figure 4.6: Open Return wind tunnel Type 1.............................................................................55Figure 4.7: Open Return wind tunnel Type 2 .............................................................................55Figure 4.8: Open Return wind tunnel Type 3.............................................................................56Figure 4.9: Layout o f Wind Tunnel Assembly from the CAD package used for the design.

................................................................................................................................................... 58Figure 4.10: The test section o f the wind tunnel........................................................................59

VII

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Figure 4 11 Axial fan used to create airflow within the wind tunnel 60Figure 4 12 The contraction zone, with a contraction ratio o f 12 1 61Figure 4 13 The diffuser with its square-to-round arrangement 62Figure 4 14 Illustration of a simple wind tunnel with a 10° diffuser angle 63Figure 4 15 Four types o f honeycomb 63Figure 4 16 The honeycomb section 64Figure 4 17 The contraction section support frame 64Figure 4 18 The test section support frame 65Figure 4 19 The diffuser section support frame 66

Figure 4 20 Wire mesh added to the outlet side of the fan for increased safety 6 6

Figure 4 21 Inserted wire mesh to add protection to the fan as well as any test pieces placed in the test section 67

Figure 4 22 (a) A Piezometer attached to a pipe (b) A U-tube manometer 68

Figure 4 23 The Pitot tube 69Figure 4 24 Shows a front and side view of the Pitot tube positioning mechanism 71Figure 4 25 Pitot tube in specially designed positioning device connected up to

manometer 72Figure 4 26 CAD drawing o f Pitot tube/ Micrometer instrumentation assembly 73Figure 4 27 x/d measurements for each o f the three test pieces 75

CHAPTER 5 RESULTS AND DISCUSSION Pages 77-104Figure 5 1 Shows the wind tunnel velocities (within the test section) corresponding to

each o f the 5 settings for the axial fan 79Figure 5 2 A graphical illustration o f the axial locations for test piece 1 The velocity

data was taken along the vertical lines at each o f the three locations 80Figure 5 3 Velocity profile for Test piece 1 at the 1st axial location 81Figure 5 4 Velocity profile for Test piece 1 at the 2nd axial location 81Figure 5 5 Velocity profile for Test piece 1 at the 3rd axial location 81Figure 5 6 Compares the development o f a boundary layer from literature (a) to that

obtained in this research (b) 82Figure 5 7 Development o f the boundary layer across the full length o f each o f the three

test pieces 83Figure 5 8 Velocity profile for Test piece 2 at the 1st axial location 84Figure 5 9 Velocity profile for Test piece 2 at the 2nd axial location 85Figure 5 10 Velocity profile for Test piece 2 at the 3rd axial location 85Figure 5 11 Velocity profile for Test piece 3 at the 1st axial location 85Figure 5 12 Velocity profile for Test piece 3 at the 2nd axial location 85Figure 5 13 Velocity profile for Test piece 3 at the 3rd axial location 85Figure 5 14 A plot o f the velocity of the airflow close to the leading edge o f the test

piece showing the development o f the separation region 86

Figure 5 15 The development o f the boundary layer across the full length o f test piece 187

Figure 5 16 An outline o f the ‘virtual’ test section created in FLUENT with test piece 1 (length = 0 5m) in place 88

Figure 5 17 magnified view o f the mesh used withm the CFD model 89

VIII

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Figure 5 18 A residual plot from the CFD software showing the convergence history 91Figure 5 19 Velocity profile for Test piece 1 at the 1st axial location 92Figure 5 20 Velocity profile for Test piece 1 at the 2nd axial location 92Figure 5 21 Velocity profile for Test piece 1 at the 3rd axial location 92Figure 5 22 Developing boundary layer profiles as obtained from the CFD software 94Figure 5 23 Contours o f velocity magnitude (m/s) for test piece 1 (length = 0 5m) at

different magnifications 95Figure 5 24 Velocity vector plot o f leading edge region o f test piece 1 (length = 0 5 m)

showing separation and reattachment points and region o f flow separation 96Figure 5 25 Plots the development o f the velocity magnitude across the upper surface o f

test piece 1 indicating the point o f reattachment when the velocity o f the airflow goes to zero 97

Figure 5 26 Contour and Velocity vector plot o f test piece 2 from FLUENT 98Figure 5 27 Velocity profile for Test piece 2 at the 1st axial location 99Figure 5 28 Velocity profile for Test piece 2 at the 2nd axial location 99Figure 5 29 Velocity profile for Test piece 2 at the 3rd axial location 99Figure 5 30 Contour and Velocity vector plot o f test piece 2 from FLUENT 100Figure 5 31 Velocity profile for Test piece 3 at the 1st axial location 101Figure 5 32 Velocity profile for Test piece 3 at the 2nd axial location 101Figure 5 33 Velocity profile for Test piece 3 at the 3rd axial location 101Figure 5 34 Comparison o f boundary layer developments from experimental and CFD

results 103

IX

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LIST OF TABLES

CHAPTER 3 COMPUTATIONAL FLUID DYNAMICS Pages 30-40Table 3 1 Comparison of Turbulence Models 37

CHAPTER 4 DESIGN OF EXPERIMENTAL EQUIPMENT Pages 40-76Table 4 1 Quoted wind tunnel price list from GDJ Inc 42Table 4 2 An evaluation of the possible development methods o f a wind tunnel facility

43Table 4 3 Advantages and disadvantages of blower type wind tunnel 49Table 4 4 Advantages and disadvantages of open return wind tunnel 50Table 4 5 Advantages and disadvantages of closed return wind tunnel 51Table 4 6 An evaluation of the suggested concepts using a weighted decision matrix 54Table 4 7 An evaluation of the Open Return wind tunnel concepts using a weighted

decision matrix 57Table 4 8 Specifications of the flat plates used m the experiments 74Table 4 9 Specifications of the axial positions, of each test piece, at which the velocity

readings were taken 74

CHAPTER 5 RESULTS AND DISCUSSION. . . Pages 77-104Table 5 1 Table 5 2

Table 5 3

X

Wind tunnel test section velocities as measured with the different devices 77 Gives the data used to create the graph o f the boundary layer developments shown in Figure 5 7, where x/d is the axial location along the plate and y is the vertical distance above the plate 84Under-Relaxation factors used in the Fluent case file 90

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NOMENCLATURE

CFD Computational Fluid DynamicsMa Mach NumberRe Reynolds NumberCd coefficient of dragCL coefficient o f liftNASA National Aeronautics and Space AdministrationNACA National Advisory Committee for AeronauticsPIV particle image velocimetryVG vortex generator

t time sv, u velocity m/sa acceleration, speed o f sound, area m/s2, m/s, m2

g gravitational acceleration m/s2

h vertical height mS, A area m 2

F force NL length mV volume m3

m mass kg/ body force per unit mass N

acting on a fluid element xr mean reattachment length of the separation m

bubbley vertical distance, normal to the wall mmmF^O millimetre o f water (measurement of pressure mm

from inclined manometer) u/U Normalised velocityy/8 Normalised distance in y directionx/d Normalised distance in the x direction

p density kg/m3

\i dynamic viscosity kg/msx shear stress N/m2 = Pa8 boundary layer thickness m0mm smallest face/cell angle degrees0max smallest face/cell angle degrees

Symbol Description SI Unit

XI

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CHAPTER 1. INTRODUCTION

The overall aim of this report is to look at the development o f boundary layers across various bodies, for example flat plates, and to gam an understanding o f the effects of the boundary layer growth on different aspects of the flow field, such as separation and reattachment To do this a wind tunnel facility was required and the experimental results from this validated against CFD results The combinations of experimental and numerical analysis allowed the author to descnbe scientifically such effects

This report is made up of a number of distinct sections Chapter two is a review o f the basic fluid mechanics involved and literature relevant to the research It contains all the required information on aerodynamics and associated phenomena, with an m depth look at boundary layers and their control The chapter also details some o f the practical necessities for utilising good aerodynamic design, for example in the design o f an automobile

The whole area of Computational Fluid Dynamics (CFD) is presented in Chapter three It is a relatively new technique used to simulate fluid flow, and this chapter gives a summary of its history and development together with a brief look at some of the previous uses of CFD fluid flow analysis The chapter also examines the governing equations behind CFD and details some o f the standard operational procedures associated with its use

The experimental equipment, which has been used m the boundary layer analysis, is presented in Chapter four An air flow facility was designed and built as part of the study and the details o f this work are outlined This chapter also includes a descnption o f the equipment used for the measurement o f the boundary layer properties

Chapter 5 examines the results obtained from both the experimental and simulation procedures, including a validation of these results These are analysed and their

1

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significance discussed with a comparison between the two sets o f results (experimental and numerical CFD) is conducted

Finally, Chapter six summarises the conclusions from the work and presents recommendations for future work This future work includes an expansion of the CFD simulations to include three dimensional models, together with further experimental testing to include the application o f grooves to the test pieces, during turbulent flow, to aid in the reduction of flow separation and hence control of the boundary layer

2

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777777777777777

Figure 2.1: Variation o f velocity with distance from a solid boundary.

2.2.1 Compressible and Incompressible flowThe flow o f a fluid may be described as incompressible if the density ( p ) o f the fluid remains constant, that is its density will not change within the field its travelling in and for all time t it will remain the same. In reality all fluids are compressible. However it is stated that a flow may be regarded as incompressible if the speed o f the fluid is less that the speed o f sound [3]. In fluid flow analysis one must be conscious o f the effects o f compressibility. This is most easily explained as significant changes in the density caused by the flow. However compressibility becomes a major issue when dealing with gasses and is most important when the velocity o f the flow reaches a significant fraction o f the speed o f sound o f the fluid [3]. When dealing with air, for example, the velocity o f sound in air, a, is approximately 343m/s at 20 °C. So if the velocity o f the air being analysed reaches a high fraction o f this then compressibility effects must be taken into account. The term Mach number has been developed to aid in this process [3].

Ma - V i a Equation 2.1

Where Ma is the Mach Number, V is the velocity o f the flow and a is the speed o f sound. The commonly accepted limit o f when compressibility needs to be accounted for is Ma <0.3 [3]. Within this research the maximum velocities obtained by the air flow facility were approximately 30m/s, giving a maximum Mach number o f just 0.087, therefore all air flows could be classified as incompressible for this study.

4

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One major difficulty, which is encountered in deciding how to investigate the flow of fluids, is that the majority o f problems involve an endless stream of fluids, for example a stream o f air flowing over the wing of an aeroplane So a decision must be made as to which part o f the stream shall constitute the system to be studied The two mam alternatives are (i) to study the behaviour of a specific element of the fluid o f fixed mass, which constitutes a closed system (11) or to define a system to be studied as a fixed region in space, or in relation to some frame o f reference, known as a control volume, through which the fluid flows forming m effect an open system The boundary o f the system is its control surface and does not change with time [2 ]

2 2 3 Laminar and Turbulent FlowObservation shows that two entirely different types o f fluid flow exist Osborne Reynolds demonstrated this m 1883 through an experiment m which water was discharged from a tank through a glass tube and a dye injected into the stream[2] At low velocities it was found that the dye filament remained intact throughout the length o f the tube, showing that the particle o f water moved in parallel lines This type o f flow is known as laminar, the particles o f fluid movmg m an orderly manner and retaining the same relative positions in successive cross-sections However as the velocity in the tube was increased the dye filament began to break up and eventually diffused over the whole cross section This is known as turbulent flow and is characterised by continuous and small fluctuations in the magnitude and direction o f the velocity o f the fluid particles [2 ]

2 2 4 Bernoulli’s EquationThe early part o f the eighteenth century saw great developments being made m the area o f theoretical fluid dynamics [5], Johann, Bernoulli and Euler were the pioneers in this development It was at this time that an equation was developed which related the velocity, pressure, and density of incompressible fluid flow This equation was first presented by Euler as

P + ~ p V 2 + Pgh = Constant Equation 2 2

2 2 2 Fluid Flow Analysis

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Where p is pressure, p is the density o f the fluid, V is the velocity o f the fluid flow, g is the acceleration due to gravity, h is the height o f the fluid (for flow m a channel or pipe) Although this equation was first presented by Euler it was developed by Bernoulli This equation states that between two different points along the flow o f the fluid there can be a relationship drawn up as shown below

P} + — pV } 2 = P2 + pV22 Equation 2 3

This can be seen to be a derivation o f the momentum equation (which is detailed in Chapter 3, Section 3 3 2) and is known as the Bernoulli Equation For the Bernoulli equation, for any two points along the flow of a fluid if the pressure decreases from point one to point two then this must correspond to an increase in the velocity o f the fluid from point one to two

6

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Aerodynamics is a large subject to descnbe as it encompasses a wide range o f techniques and applications However if the area is restricted to ground vehicle aerodynamics only As a vehicle (for example a car, truck or motorcycle) travels on a specific path, the airflow around the body and throughout the engine compartment produces pressure on every surface the air comes m contact with [4] The sum o f these pressures is aerodynamic (aero) drag, lift, side force, and moments about the centre o f gravity The aerodynamic characteristics are determined by the overall shape o f the vehicle, the detailed shape of each body panel and the design and location o f the underbody and cooling components Integrating favourable aero features into the design requires an understanding o f aero principles and application

2 2 1 LiftThe following section discusses lift in terms of aircraft wings, however all o f the principles described here remain valid for all vehicles (but mostly acting in the downward direction) To sustain an aircraft in the air at a steady level, it is necessary to generate an upward lift force, which must exactly balance the weight o f the object Lift can be defined as a force at right angles to the direction of movement [2] In the classical configuration of the aircraft, a wing generates nearly all o f the lift [6 ], as shown in Figure 2 2, with the remainder being provided by the fuselage and the tail The aerodynamic forces produced, when air is blown at a certain speed past a stationary airfoil, as for example in a wind tunnel, or as simulated with a CFD package, are identical to those obtained if the airfoil flies through stationary air at the same speed [7] That is, it is the relative speed between the air and the airfoil that matters This is very important, as it is generally much easier to understand and describe what happens when air blows past a fixed object, than when a moving object moves through still air

2 3 AERODYNAMICS

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Resultant Force

r /-------- Force due to the difference in pressuresbetween upper and lower surfaces 4Ilot mal Force)

Force due to difference in pressure between leading and trailing edges (Chord Force)

Figure 2.2: Lift is generated when the airfoil is inclined to the direction o f flow. The direction o f the resultant force due to the pressure creates this lift.

2.2.2 Pressure and LiftThe pressure variations around an airfoil, as shown below in Figure 2.2 are what cause an object to lift. In Figure 2.3 the shaded area, under the black airfoil, represents pressures greater than the ambient air pressure, and the un-shaded region, above the black airfoil, represents low pressure [8 ].

As the difference in pressures between the upper and lower surfaces is greatest over the front portion o f the airfoil, then most o f the lift force is generated in that region [6 ]. However there has been a trend to design airfoil sections to give a constant low pressure over a large proportion o f the top surface [6 ]. This produces a more uniform distribution o f lift along the section, giving both structural and aerodynamic advantages [6 ]. The amount o f lift, which is produced by a wing, depends on its plan area (S), the density o f

Pressure lower than local atmospheric

Low pressure Highest pressure - stagnationaround leading edge

Figure 2.3: Pressure distribution around an airfoil [6].

8

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the air (p), the flight speed (V), and a factor called the Lift Coefficient (CL) [6 ] The relationship can be expressed by [6 ]

Lift = ^ p V 2 SCL Equation 2 4

Therefore, rearranging this becomes CL = - —- — Equation 2 5- p V 2S2

The quantity— p V 2, which occurs in this expression, is known as the dynamic pressure 2[6 ] To explain this term it is easiest to imagine an airstream, where the energy o f this airstream is in two forms It has a potential energy, which is its static pressure, and a kinetic energy, which is its dynamic pressure [10] The total pressure in the airstream is the sum of these two The dynamic pressure has the same units as pressure but it actually represents the kinetic energy o f a unit volume o f air (that is 1 cubic metre o f air) [6 ] Aerodynamic forces such as lift (as in the above equation) and drag are directly dependent on it It is therefore a factor, which occurs frequently and is often referred to asY

2 2 3 DragThe primary purpose of an airfoil is therefore to produce lift when placed in a fluid stream However, an airfoil will also expenence drag at the same time [6 ] Drag is the component of the resultant force acting on the body, which is parallel to the relative flow and retards the forward motion of the body [ 10] This is generally an unwelcome effect and causes fuel economy to decline To calculate the aerodynamic drag force on an object, the following equation can be used [6 ]

Drag = p V 2 A CD Equation 2 6

Where C d is the Coefficient of drag, p is the density o f air, A is the frontal area (area facing the oncoming airstream), and V is the Velocity o f the object Figure 2 4 gives a more graphic description o f drag, with the respective drag coefficients o f some simple and everyday items shown [2 ]

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Figure 2 4 Values o f drag coefficient, C D, for various body shapes [2]

In order to minimise drag, an airfoil must be designed as a streamlined body [10] A measure used to determine a wing section’s performance (that is, its efficiency) is the ratio o f its lift to drag coefficient [10] The higher this ratio is the better the airfoil’s performance in producing high lift with low drag penalty [10] In an aircraft it is the lift on the wing surfaces which maintains the plane in the air, and similarly in Formula One

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racing it is the wing which prevents the car from flying off the track The lift/drag ratio is given by [ 1 0 ]

¥ CL ^ = —- Equation 2 7drag CDUsing this equation an L/D curve can be plotted and the highest point on this curve, called the (L /D )max, occurs at the most efficient angle of attack [10]

2 2 4 Aero factorsWind tunnel and track testing (for ground vehicles) plus Computational Fluid Dynamics (CFD) provide useful tools for evaluating aero factors Aero factors are the phenomena associated with fluid flow, such as lift, drag, separation o f flow, transition o f the boundary layer from laminar to turbulent flow, to mention just a few As already mentioned aerodynamic forces and moments, as well as tyre-road forces (again for ground vehicles), affect performance (stability and control) [11] However unlike the tyre forces which are primarily independent o f speed, the aerodynamic forces increase rapidly with speed [ 1 1 ]

Whilst the reduction in drag (forces which slow down the vehicle) are a legislative requirement (in terms o f reduction o f fuel consumption and emissions), aerodynamics also has a part to play in developing competitive products These contnbutions (often referred to as attributes) are shown m Figure 2 5

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Performance

•Fuel Economy

•Emissions

•MaximumSpeed

•Acceleration

Cooling

•Engine

•Transmission•Brakes

•Condenser

•Intercooler

•Oil-pan

•ECU

Stability•Straight-line

•Crosswindsensitivity

Comfort •Wind Noise

•Ventilation

•Heating

•Air-conditioning

Aero Loads

•Doors

•Side-Glass

•Sunroof

•Bonnet

•Roofsystems

•Soft-tops

Figure 2 5 Contribution o f aerodynamics to vehicle perform ance and design (8|

2 2 5 PerformancePerformance is traditionally^ associated with maximum speed, acceleration and fuel consumption [8] All o f these characteristics are influenced by the aerodynamic element o f drag Examples o f the sensitivity o f a vehicles performance compared to drag are shown in Figures 2 6 and 2 7 In practice fuel economy sensitivity is not only dependent upon the type o f driving, but as urban use becomes more restricted, it is expected that the aerodynamic contribution to fuel consumption will increase as more motoring takes place at higher speeds on motorways and open roads [8]

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Power (kW)

Speed (km/h)

Figure 2 6 The influence o f drag on max speed o f a car [12]

Acceleration(kmA2/hr)

Figure 2 7 The influence o f drag on acceleration o f a car |12 |

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Figures 2 6 and 2 7 give a broad indication of the effects of drag However a more practical example is presented by Shelley [13] m his investigation o f the use o f advanced aerodynamics to bring significant cash savings to truck owners and operators He reports how improvements m the aerodynamics o f commercial tractor-trailer combinations can reduce fuel consumption by over 14% and even has the potential to be increased to 20% The technology involved in the redesign process was developed and proved m Formula One and other branches o f motor sport, together with the aircraft industry, but is available now to all This technology, referred to as ‘Fuel Saving Aerodynamics’ (FSA), and has been tned and tested over one million kilometres When fitted to truck cabs it is said to have produced fuel savings o f over 7 5% over and above anything achieved previously Further to this aerodynamically redesigning the trailer has achieved an additional 7%, and latest versions have shown this is likely to rise to as much as 12% [13] It is estimated that a 10% fuel reduction could produce a fuel cost saving in excess o f €3500 per year and with an estimated 450,000 heavy commercial vehicles [14] in the UK, the possible fuel savings that could be achieved by aerodynamically redesigning trucks is substantial This same technology can also be potentially applied to buses, coaches and other vehicles

2 2 6 StabilityAs vehicle speeds increase, aerodynamics also has a contribution to vehicle stability [8 ] In low ambient winds, poor aerodynamic stability, o f an automobile, results in the creation o f vibrations within the car body, thus giving a “nervous” feel and adding to driver fatigue [14] The aerodynamic effect up to speeds o f approximately 193km/h (120mph), is a function of the lift forces acting on the front and rear axles [7] So as to attain an acceptable degree of stability, guidelines are usually set in terms of aerodynamic lift on the front and rear axles [8 ] These guidelines are set by the various car manufacturing companies and vary slightly from one company to the next One o f the most notable aspects o f stability is in relation to cross winds, where a vehicle is subjected to a side force This is particularly important with large commercial vehicles or tall vans These crosswinds are highly transient and have yet to be accurately simulated in wind tunnels [8 ], so manufacturers usually set a 4 Cross wind Stability Guideline’ and then

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subject their designs with the test vehicle yawed, that is turned on the vertical axis, to the oncoming flow, so that the flow stnkes the car at an angle, to ensure it is within this guideline [8 ]

2 2 7 CoolingAutomobile development, from the point o f view o f aerodynamics, nowadays includes a significant amount of time in the optimisation o f cooling the airflow for the following, Engine, Transmission, Condenser, Intercoolers, Brakes, Engine Mounts, ACU (Air Conditioning Units) Ensuring enough air runs through the car's radiators is critical, especially when travelling m hot weather [11] However it is very important to maintain the correct balance between supplying the right amount o f cooling for the various components mentioned above and at the same time not overdoing it as this will only add to the overall drag o f the car and hence will slow the car down Careful aerodynamic optimisation of cooling flow paths and ducting minimise drag and lift penalties [8]

2 2 8 VisibilityWhen driving m such conditions as rain, visibility is influenced by a combination o f the volume of water on the vehicle surface and the airflow around it With improvements m wind tunnel test techniques and computational fluid dynamics, aerodynamicists are developing in house standards for forward and rearward visibility under specified conditions [8] While much o f the current standards are based on subjective evaluations o f visibility, new technology is being developed to give objective measurements [15] At high speed, poor aerodynamic design o f vehicle wipers can result in “wiper lift” where the aerodynamic loading reduces the contact pressure o f the blade thereby reducing the water-clearing ability This is the reason why some wipers incorporate a small airfoil [8]4 Water Management’, as it is known [8 ], is a big part of aerodynamic design and taking the example o f a car, this not only has an influence on the wipers, but also on the A-post finisher, door mirror design and ram channelling systems to maintain acceptable vision through front and rear screens and rearward vision using the door mirrors through the side-glass [8 ]

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Wind noise is rapidly becoming the predominant source of noise perceived by vehicle occupants, especially with improvements m chassis refinement and recent introduction o f low-noise road surfaces [ 16] The result is one of annoyance and o f a fatiguing effect on the driver and occupants of the car as the exposure to such noise is a direct cause of stress [17] This noise is generated by separated flows, especially at the A-pillars and door mirror and by high speed flows over cavities such as panel gaps and by intake apertures [8] Aerodynamics has a role to play in optimising vehicle design for low wind noise, as well as providing sufficient quantities o f air for heating and ventilation systems which also have an effect on comfort for the occupants o f the vehicle [8 ]

2 2 9 Comfort

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When air flows over a surface it appears to ‘stick’ to it, so much so that the velocity o f the air stream, microscopically, is zero at the surface [2], A boundary layer can be defined as a region o f slower-moving air near to a surface caused by friction between the air and that surface [2]. The relative velocity o f the airflow increases rapidly with distance, away from the surface. Effectively only a thin ‘boundary layer’ is developed by the presence o f the surface. This boundary layer does not have any precise edge; the influence simply fades, depending on the viscosity o f the medium, the speeds involved and the surface roughness [2]. However for the purposes o f calculations it is often necessary to define an edge. Take the fluid flowing over the flat plate, as shown in Figure 2.8 below, in which case a boundary layer has been created. When a fluid flows over this body it is initially laminar but it gradually becomes turbulent. Since the fluid is viscous the layer closest to the surface ‘sticks’ to it. The term viscous simply refers to the resistance o f a fluid to shear forces, hence its resistance to physical ‘flow’. In the previous case the term viscous could be described as the ‘stickiness’ o f the air [6 ], a good example o f a viscous fluid is syrup as it resists flow more than other fluids such as water. The viscosity o f gasses differs from liquids, in that with gasses an increase in temperature causes an increase in viscosity [11]. Fluids, especially gasses, are not very stiff; hence the next layer (looking again at the example in Figure 2.8) outside the inner layer continues to move. This sets up a shearing force in the fluid where the velocity is zero at the bottom o f a region (at the surface) and at the free stream value at the top (furthest away from the surface). This region o f shear is called the boundary layer [2].

2.4 BOUNDARY LAYERS

F igu re 2.8: D evelop m en t and var ia tion o f ve locity w ith in th e b ou n d ary layer on a flat su rface w ith nostream lin e p ressu re var ia tion .

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Using the very basic model dimensions shown in Figure 2 9, it is clear to see how the thickness o f a boundary layer can be determined entirely by the viscosity o f the fluid since it is that which defines the ‘stiffness’ in terms o f its resistance to shear [8] The higher the viscosity the thicker the boundary layer Boundary layer mechanics can be extremely complicated and highly chaotic, making it very difficult to study these phenomena analytically

Laminar.RowTurbulent Flow Boundary Layer

Airflow! ^Laminar Sub-Layer

Figure 2 9 Development o f the boundary layer [10]

Laminar boundary layer flow is the name given to the tidy, ordered state which exists when a body first makes contact with a fluid in relative motion at low speeds [2] At first the fluid flows over the body m a precise and ordered fashion with the layers o f fluid molecules moving smoothly over each other gradually getting faster and faster further away from the body until it reaches free stream speed [8] This highly-ordered condition does not last, hence any small disturbance causes a chain reaction which rapidly degenerates the situation into chaos, as the flow streams cross each other randomly and the structure breaks down This situation is often referred to as the turbulent boundary layer A common method o f defining the type of flow is by measuring the Reynolds Number Reynolds number (Re) Reynolds number is defined as the ratio o f the inertia and viscous forces [2] It may be defined generally as [2]

r InertialForce xR . . = m Equation 2 8, ViscousForce ̂

Where V is the velocity (m/s), L is the length (m), p is the density (kg/m3) and |i is the dynamic viscosity (kg/ms) Up to approximately Re = 5 x 105, the flow will be laminar and for turbulent flow the Reynolds number will be greater than 2 x 106 [2] The change o f state o f the flow from laminar to turbulent does not generally take place at a single

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well-defined point, but instead occurs gradually so creating the transition region, between the two flow regimes [2 ]

Therefore, there are two distinct types o f boundary layers [18], 1) laminar flow, near the leading edge, where the air flows smoothly in a streamlined manner and 11) further along where there is a change or transition to turbulent flow These two types o f flow have different properties Simply the laminar layer produces less drag, but the turbulent layer is less liable to separate from the surface [18] Separation is the phenomenon which results when the flow of fluid over a body detaches from the body [2 ] and a wake region develops A wake is the region just behind a body which has been immersed in a fluid flow, this is shown more clearly m Figure 2 10 [2] The wake starts at point S, at which the boundary layer separation occurs The rear edge o f the body represents a discontinuity o f the solid surface and this together with the separation produces a vortex region, known as the wake

This wake region can form due to a huge pressure gradient across the body The fluid particles in a laminar flow move very slowly close to the beginning o f the boundary layer development and become slower due to the pressure gradient [18] Then at some stage the kinetic energy o f the fluid particles can be so low that they (the fluid particles) cannot

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overcome the pressure gradient This leads to reversed fluid flow [18], as shown in Figure 2 11 As the fluid higher up possesses enough energy to continue moving forward, a swirling o f the fluid is generated forming separation [18]

sFigure 2 11 Boundary -L ayer flow close to the separation point (S = separation point) (18)

The separation o f the fluid leads to a region o f negative pressure which results in a large pressure drag being formed However as turbulent boundary flow possesses more energy the kinetic energy o f the particles reduce the effect o f this pressure gradient [18] This means that the flow will continue to move forward close to the surface, thus the flow does not reverse nor separate from the surface [18]

A particularly remarkable phenomenon is the effect o f using a turbulent boundary layer to inhibit the onset o f separation For a turbulent boundary layer, the point o f separation can be further back along the surface compared to laminar flow This is due to the turbulent mixing motion, since the energising effect o f the outer flow on the turbulent boundary layer becomes much greater than in the laminar case [18] The movement o f the separation point further downstream results m the wake region behind the body becoming considerably narrower [18] It should be noted that once flow becomes turbulent, this increases the drag, however it is small in comparison to the drag incurred due to early separation o f the fluid Prandtl [19] explained this by placing a thin wire nng around a sphere just in front its equator This artificially converted the laminar flow into turbulent at a lower Reynolds number (low velocity), and the same drop in drag which normally only happens at higher Reynolds numbers occurred This is shown in Figure 2 12

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Figure 2.12: Shows the effect o f Prandtl’s trip wire on reducing the wake area and drag behind asphere, adapted from (18|.

The separation o f a fluid from an object’s surface can be reduced if a body is well streamlined, therefore the art o f streamlining a body lies in shaping its contours so that separation and consequently wake formation are eliminated. Or at least confining the separation to a small region o f the body, towards the rear, thus keeping the wake as small as possible [18]. If this is not controlled a large pressure drag develops due to the onset o f the early separation o f the fluid from the body [19]. Hence controlling separation effects on bodies will be the focus o f the current research.

One o f the key contributors to the occurrence o f drag is the onset o f separation. So certain measures have been developed to aid the reduction or perhaps even completely eliminate separation [18]. Perhaps the easiest way to prevent the separation o f the boundary layer is to move the surface in the same direction as the flow and thus removing the velocity difference between the surface and the outer flow [21]. This method was proven successful by Prandtl and Tietjens [20] when the research used a rotating cylinder, where the motion o f the cylinder and the flow was the same and no separation was found to occur. A second method used to reduce separation was the use o f suction. This method focused on the slow moving fluid along a surface, which was sucked in through narrow slits along the surface [19]. No separation was found to occur once sufficient suction was maintained [19]. The use o f suction has also been shown by McCullough and Gault [21] to allow for an increase in the lift on airfoils. This was achieved by using suction to

2 1

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maintain attached flow at higher angles o f attack than otherwise possible and so giving significant increases in the maximum lift The research used two suction slots, one near the leading edge and a second near the mid-chord region o f a NACA 63 1-0 12 airfoil section The results showed increases in lift o f approximately 38 6% and 37 5% for an undeflected airfoil flap and a deflected flap o f 40° respectively This was reported to be at the point o f separation According to Masad et al [22] the optimal practical location for preventing separation, is upstream o f a rough element Separation can also be prevented by blowing tangentially into the boundary layer [19] This method blows the fluid in question, through a slit in the surface into the boundary layer parallel to the mam flow direction (see Figure 2 13) thus providing the flow with an increased amount o f kinetic energy and so preventing separation [19] Figure 2 12(b) shows the effect o f blowing on boundary layer flow The flow is about to become reversed close to the surface, but this is counteracted by the tangential blowing process and instead the flow is now even faster close to the surface, than the free stream velocity o f the flow, hence reversed flow and hence increased drag will not occur

Figure 2 13 Boundary layer blowing, adapted from [18|, (a) An exaggerated view o f blowing across an airfoil, (b) Shows the effect on the velocity distribution in the boundary layer directly after the slit

for tangential blowing

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Buckley and Marks [23] investigated this blowing method on the cab o f a tractor-trailer truck A significant drag reduction resulted, with a maximum reduction in the drag coefficient of 21 9% The use o f blowing as a method of boundary layer control has also been extensively researched within the aviation industry Crowther [24] used air jet vortex generators to blow air across an airfoil flap Separation o f the flow was causing a drop in performance o f approximately 0 2Cl However the application o f the flow control in the form o f air jet vortex generators (blowing), located approximately 30% x/c ( a nondimensional distance measured m a chordwise sense) from the leading edge o f the flap, enabled reattachment o f the flow to the upper surface o f the flap and hence a recovery o f the original flap performance [24]

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2 5 F L A T P L A T E S E P A R A TIO N A N D B O U N D A R Y L A Y E R C O N T R O L

In order to fundamentally understand the effects of the phenomena discussed in the previous section on the flow structure, this study will focus on flat plates It has been shown in previous research [25] that for various velocity distributions over a flat plate, a recirculation region of the flow occurs near the surface, leading to the transition o f the flow from laminar to turbulent flow, dominated by boundary layer separation [25] Studies into the reduction of drag across flat plates by means o f fluid flow control have been earned out in two ways, passive and active control [26] Passive control typically involves some kind o f design modification o f the surface (for example streamwise ribs or nblets which are attached to the surface) and requires no auxiliary power [26], while active control involves continuous adjustment of a variable that affects the flow based on measurements o f quantities o f the flow field (feedback) According to Baker et al [26] the latter method can significantly reduce the frictional drag exerted on a flat plate The nbs or nblets used in the passive control o f boundary layer separation are often referred to as vortex generators (VG) [27] In Lin’s [27] review o f the use o f low profile vortex generators to control boundary layer separation, several studies conducted at the NASA Langley Research Centre were examined and discussed for various types o f passive flow control devices These studies compared the separation control effectiveness of these devices and a summary o f these results is presented in Figure 2 14, as a function of the percent reduction in the separated-flow region

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□ Region of reduction in reattachment distance

Figure 2.14: Relative effectiveness in flow separation control versus device category [27],

Ashill et al. [28] compares the effectiveness o f flow-separation control for various low profile VGs at free-stream velocity, U<x> = 20m/s. This experiment used wedge type and counter-rotating delta vane VGs, which were located 52h (h being the height o f the VG) upstream o f the separation. This work determined that all VG devices reduced the extent o f the separation region, but the counter-rotating vanes spaced by a lh gap were the most effective [28]. Lin [27] also reports on the effects o f VG height on separation control and drag reduction. It is reported that low profile vane type VGs gave slightly more effective separation control while incurring less device drag than wishbone VGs with equivalent heights [29]. See Figure 2.15, which shows the typical height o f a low profile VG relative to a boundary layer velocity profile. At a device height o f only 0.2Ô (Ô is the boundary layer thickness and Y is the distance normal to the body), the local velocity within the boundary layer would be 75% o f the free stream speed value. Any further increase in height only provides a moderate increase in local velocity but dramatically increases the device drag [29].

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hyG = device height of conventional VGs \ pvg ° device height of low-profile VGs

u/ULFigure 2 15 Low-profile VG height relative to the turbulent boundary layer velocity profile [27J

The use o f grooves often referred to as cavities or passive cavities [29] have been researched at a transonic and supersonic level [29], for example, to control shock - boundary layer interaction [30] However the same cannot be said for the use o f such grooves, or cavities, in boundary layer control and reduction o f flow separation at subsonic speeds (that is speeds lower than the speed o f sound)

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2.6 BLUNT PLATE SEPARATION AND REATTACHMENTPrevious research [31] has shown that for finite length plates the recirculation flow region, known as separation bubbles, have a significant impact on the boundary layer development as well as subsequent separation and recirculation regions. A good deal o f experimental and theoretical research in separated-reattached flow has been performed [32-34]. For finite length blunt plates, Sam et al. [35] found that the position o f reattachment is affected by the level o f free stream turbulence and less affected by Reynolds Number. At zero incidence reattachment was found to occur at xr/d = 4.68. More recently Yaghoubi [36] performed a series o f experiments to investigate the turbulent flow field around finite length blunt plates (Figure 2.16). This research reported on the effects o f the free stream turbulent intensity on the flow recirculation, reattachment point and redevelopment o f the boundary layer downstream from the leading edge. It stated that within the separation bubble the mean turbulent intensity rises near the centre o f the bubble and reduces as one moves to the reattachment point and over the boundary layer.

boundary layer

Figure 2.16: Flow over a blunt plate, adapted from [36].

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2 7 CFD AND BOUNDARY LAYER ANALYSISCFD (Computational Fluid Dynamics) with its wide ranging applications, has been widely used throughout both industry and research since its inception in the middle o f the last century [37 - 42] This has o f course included investigations into boundary layers

The use o f CFD has been incorporated into the analysis o f boundary layer control hydrofoil flow [43] Rhee et al [43] reported how the results o f their study into the BLC (Boundary Layer Control) flow around a hydrofoil, when validated with the available experimental data, compare very well and hence reinforce the validity o f the CFD technology for this application

Palikaras [25] also used CFD to study the effects o f free-stream velocity profiles on the transition o f laminar to turbulent flow on flat plates Reports indicated that the k-e models gave satisfactory predictions regarding the predicted velocity distributions These k-e models are computational models used to aid m solving the flow problem These models will be discussed m detail m Chapter 3 Section 3 5 Recently Hwang [44] incorporated the use o f CFD into the design o f a new technology for reducing turbulent skin friction, called the Microblowing Technique (MBT) The combination o f both experimental and CFD results show that this technology could potentially reduce turbulent skm friction by more than 50% o f the skin friction over solid flat plates for subsonic and supersonic flow conditions It was noted by Hwang that this has the potential to be applied to all types of air flow, but m order to push this technology forward to real world applications large scale experiments will need to be conducted

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2 8 PRESENT RESEARCH OBJECTIVESThe present work aims to examine the development o f the boundary layer Specifically the study will look at the effects of separation within the boundary layer and its impact on the development of the boundary layer and on other aspects o f the fluid flow across a blunt plate This will be preformed as follows

1 The design and development o f an m-house air flow facility (wind tunnel) is vital to achieving the above objectives and so is a key part to this research

2 By testing the functionality of the wind tunnel by carrying out flow test and comparing to CFD results

3 Investigate the boundary layer analysis over a number of different sized blunt plates both experimentally and through the use o f CFD simulations

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CHAPTER 3. COMPUTATIONAL FLUID DYNAMICSComputational Fluid Dynamics (CFD) has evolved significantly over the last half a century and with this evolution it has begun to play a more important role m many industries [45] Computational Fluid Dynamics is a computational technology that enables the user to study the dynamics o f fluids simulated m their normal environment[45] Computational refers to numerical computation used to determine its results and fluid dynamics refers to the movements o f the fluid flow being simulated

One description of Computational Fluid Dynamics is “a wind tunnel in the computer”[46] However, it merits a much fuller description Using CFD a computational model can be built to represent a system or device that is under investigation In other words CFD is the analysis o f systems involving fluid flow, heat transfer and associated phenomena, such as chemical reactions by means of computer-based simulation The technique is very powerful and spans a wide range o f industrial and non-industnal application areas [47]

Fluid mechanics has a complex mathematical basis It is governed by a set o f partial differential equations, which for the purpose o f progress is deemed to involve dealing with just four mam equations, the Navier-Stokes Equations, the Continuity Equation, the Energy Equation, and the Turbulence Model [46]

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The benefits o f CFD are many, varying from a greater understanding o f the part being examined to the ability to foresee certain problems or limitations o f the device. The use o f CFD also removes the need for the construction o f several prototypes, hence leading to a greater overall efficiency in the manufacturing o f a device. All o f which leads to a reduction in manufacturing lead times and more importantly a reduction in costs [46].

There are currently a number o f CFD software packages available such as; STAR-CD, CFX and FLUENT. Also there is the relatively new package o f KULI, which is a CFD tool, specially developed for examining the airflow through engines and air-conditioning units in vehicles [48]. However FLUENT is regarded as one o f the most advanced CFD packages on the market according to a number o f experts within the CFD industry[46] and hence is used in the course o f this research (Figure 3.1).

3.1 WHY USE CFD?

* FLUENT [3d, segregated, S A]File Grid Define Solve Adapt Surface Display Plot Report Parallel Help

Welcome to Fluent 6.1.22A

Copyright 2003 Fluent Inc. All Rights Reserved

Loading "C:\Fluent.Inc\fluent6.1.22\lib\fl_s117.dnp" Done.

> Reading "D:\FLUENT\transfer models\complete_wind_tunnel.cas"__8000 hexahedral cells, zone 2, binary.3200 quadrilateral wall faces, zone 3, binary.100 quadrilateral pressure-inlet faces, zone 4, binary.100 quadrilateral uelocity-inlet faces, zone 5, binary.

22300 quadrilateral interior faces, zone 7, binary.9801 nodes, binary.9801 node flags, binary.

Building__1

Figure 3.1: FLUENT’S graphical user interface (GUI).

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CFD began its development from the 1960’s onwards as a result o f the aerospace industry, for the design, manufacture and research and development o f aircraft and jet engines [46] Its scope was later extended to include the design o f automobiles [46] Some examples o f its application are [47]

• Aerodynamics o f aircraft and vehicles lift and drag• Hydrodynamics o f ships• Power plant combustion m IC engines and gas turbines• Tubromachmery flows mside rotating passages, diffusers• Electrical and electronic engineering cooling of equipment including micro­

circuits• Chemical process engineering mixing and separation, polymer moulding• External and internal environment of buildings wind loading and heating/

ventilation• Marine engineering loads on off-shore structures• Environmental engineering distribution o f pollutants and effluents• Hydrology and oceanography flows m rivers, estuaries and oceans• Meteorology weather prediction• Biomedical engineering blood flows through arteries and veins

The whole area o f fluid motion and fluid flow is extremely complex and this is the reason why the development o f CFD codes has lagged behind other CAE tools to date But as such high performance computing software become more available and affordable, this has led to an upsurge of interest in CFD [46]

3 2 DEVELOPMENT OF CFD

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3 3 GOVERNING EQUATIONS OF CFDAll CFD is based on the fundamental governing equations o f fluid dynamics - the continuity, momentum, and energy equations [49] They are the mathematical statements of three fundamental physical principles upon which all of fluid dynamics is based

1 Mass is conserved2 Newton’s second law, F = ma3 Energy is conserved

In order to apply the above principles a suitable model o f the flow must be defined This is not as easy as it might first appear A solid body is easy to account for, when it is in translational motion the velocity o f each part of the body is the same However if a fluid is in motion the velocity may be different at each location m the fluid [49]

3 3 1 Finite Control VolumeFirst consider a general flow field Now imagine a closed volume drawn within a finite region of the flow This volume defines a control volume V, a control surface S, is defined at the closed surface, which bounds the volume This control volume may be fixed in space with the fluid flowing through it, alternatively the control volume may be moving with the fluid such that the same fluid particles are always inside it In either case the control volume is a reasonably large, finite region o f the flow It is the fluid within this finite region to which our attention is limited The fluid flow equations, which we obtain by applying the fundamental physical principles to a finite control volume, are m integral form These integral forms o f the governing equations can be interpolated to obtain partial differential equations These equations obtained from the finite control volume fixed in space in either integral or partial form are called the Lagrangian form of the governing equations The equations obtained from the finite control volume moving with the fluid, in either integral or partial differential form, are called the Eulenan form o f governing equations

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Physical principle mass is conserved This principle can be applied to the chosen flow model and the resulting equation governing flow is called the continuity equation The conservation form o f this is given in Equation 3 1 and the non conservation form is given in Equation 3 2 [49] and the complete derivation o f these can be found in Anderson [49]

— \ \ \ p d V + j j p V dS = 0 Equation 3 1

3 3 2 The Continuity Equation

8t y

D_Dt JJjp dV = 0 Equation 3 2

3 3 3 The Momentum EquationPhysical principle F = ma (Newton’s 2nd Second Law)

Once again this physical principle will be applied to the model o f flow, and the resulting equation is called the momentum equation [49]

Du dp f a xy &cyx drp — = ------ + ------- + ------ + — — + p fx Equation 3 3Dt dx

p ~ ~ = — h---— H-----— + f f Equation 3 4H Dt dy ' " * yJr 4

£^___dp_ + ̂ x^ + — + + Equation 3 5H Dt dz ' 4

d x+ — —

dy■ +

dz

d r xv dx drxy+ 39 +

zydx dy dz

• +dx dy dz

The above equations, Equation 3 3-3 5, are the x, y, z components of the momentum equation for a viscous flow, a full derivation o f these is presented m Anderson [50] They are partial differential equations obtamed directly from an application o f the fundamental physical principle to an infinitesimal fluid element, they are also m nonconservation form They are scalar equations and are generally referred to as the Navier-Stokes equations

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As mentioned earlier, there are a number o f CFD packages available, however all these codes are structured around a numerical algorithm used to model fluid flow problems [50, 51 ] This numencal algorithm is made up o f three mam elements

1 Pre-Processor The pre-processor consists o f the input o f a flow problem into the CFD program This step includes such activities as definition of the geometry, generation o f the grid (mesh), definition o f the fluid properties and specification of the boundary conditions [52]

2 Solver This is the numerical method used to solve the flow problem One of the most widely validated techniques is the Finite Volume Method [53] It consists o f the following steps [47]• Approximation o f the unknown flow variables by means o f simple functions• Discretisation by substitution o f the approximations into the governing flow

equations and subsequent mathematical manipulations• Solution of the algebraic equations

3 Post-Processor This stage allows for the analysis and presentation o f the data produced by the solver [54] This usually includes geometry and grid display, vector plots, contour plots, particle tracking and animation [47]

It is the second o f these stages, the solver stage, which is the most complicated and is highly dependent on the computing power available It is during this stage that the CFD software solves the set o f differential equations associated with the flow, these include the Navier-Stokes equations and the Continuity Equation This is especially true for the case o f turbulent flows In principle the Navier-Stokes equations apply equally in both laminar and turbulent cases, however the detail associated with turbulent flow is small scale and is far beyond the capabilities of current generation computers [54] Nevertheless, it is not necessary for an engineer to consider turbulent flow m such detail, instead it is sufficient to look at time-averaged effects even when the mean flow is

3 4 CFD PROCEDURE

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unsteady [55]. The process o f time-averaging has caused problems in the conservation equations, with the fluctuation o f certain terms, such as velocity. This has required the need to approximate or ‘model’ such terms and had therefore led to the development o f various ‘turbulence models’ [56].

Figure 3.2: Gambit graphical user interface (GUI).

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A turbulence model is a computational procedure used to close the system of mean flow equations so that a variety o f flow problems can be solved [47] In general a turbulence model should have a wide range o f applicability, should be shown to have a good deal o f agreement with expenmental data and should be simple and economical to run Table 3 1 highlights some of the advantages and disadvantages associated with just three o f the turbulence models available within the FLUENT software [53] The models employed in this research include the Spalart-Allmaras, the standard k-e and the RNG k-e methods

3.5 TURBULENCE MODELS

Table 3 1 Comparison of Turbulence Models [57]Model Strengths WeaknessesSpalart-Allmaras Economical (single

equation), good track record for mildly complex B L type of flows

Not very widely tested yet, lack o f submodels, for example combustion, buoyancy

Standard k-e Robust, economical, reasonably accurate, long accumulated performance data

Reasonable results for complex flows involving severe pressure gradients, strong streamline curvature, swirl and rotation

RNG k-e Good for moderately complex behaviour like je t impingement separating flows, swirling flows, and secondary flows

Subjected to limitations due to isotropic eddy viscosity assumptions

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Generally there are two numerical methods, hence either o f which can be chosen [58]:• Segregated solver• Coupled solver

Using either method, the governing integral equations for the conservation o f mass and momentum, and (when appropriate) for energy and other scalars such as turbulence and chemical species may be solved. Using segregated solver the governing equations are solved sequentially (that is segregated from one another) [57]. As the governing equations are non-linear (and coupled), several iterations of the solution loop must be performed before a converged solution is obtained. The coupled solver solves the governing equations o f continuity, momentum, and (where appropriate) energy and species transport simultaneously (that is, coupled together) [57]. In this case the governing equations for additional scalars are solved sequentially (that is segregated from one another and from the coupled set) using the procedure described for the segregated solver above. Because the governing equations are non-linear (and coupled), several iterations o f the solution loop are performed before a converged solution can be obtained.

3.6.1 Meshing o f the geometry within GambitGeneral meshing schemes within Gambit, the FLUENT pre-processor package, include edge, face and volume direct meshing. Pre-meshing o f edges and faces is also available and is used to control cell distribution in the model along faces and volumes respectively. This research was exclusively 2D based so face meshing was sufficient for use in the Gambit models. Face meshing offered a range o f element/scheme type combinations:

1. Quad: map, submap, tri-primative and pave2. Quad/Tri: map, pave, wedge3. Tri: pave

The general practice when meshing is to decompose complicated geometries into simpler areas or volumes. The preference with this research was to go along with this strategy of meshing despite the relatively simple geometry which was being modelled. The

3.6 CFD SOLVERS

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geometry, as shown in Figure 5 9 above, was meshed in four separate sections in order to minimise errors and increase computational accuracy Upon selection o f an area to be meshed Gambit automatically chooses the type of mesh based on the solver selected The element type/scheme used extensively in this research was that o f the quad/map Initially a large element edge size was selected but this was refined as necessary so as to give more accurate results, this however also added to the computational time o f the solver This applied mesh was analysed using the ‘mesh inspection’ tool which offers a range o f display and quality types One measure o f mesh quality used by Gambit is based on Equi- Angle skew, which can be defined as

max <9 -<9 9 - 0 .1 8 0 -0 ’ 0

Equation 3 6

Where 0mm = the smallest angle m a cell, 0max = the largest angle in a cell, 0e = the angle for an equiangular cell (60° for triangles and 90° for square) This equi-angle skew ranges from zero at best to one at worst and it is generally recommended that this skewness should not exceed 0 85 If is the case that a particular model exceeds this, or another of the mesh quality measures, it is recommended that the mesh be deleted and the domain re-meshed The highly ordered geometry being investigated in this research resulted in a equi-angle skew o f zero for all elements

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CHAPTER 4. DESIGN OF EXPERIMENTAL EQUIPMENT

4 1 DESIGN BRIEFThis study used both experimental and numerical methods o f research Therefore since no experimental air-flow facility (wind tunnel) was present within the school an initial requirement o f the study was to research, develop and design such a facility The result o f which was a wind tunnel available for the completion o f this research and also available for other researchers in the School o f Mechanical and Manufacturing Engineering who are interested in utilising it m their work

4 2 PRODUCT DESIGN SPECIFICATIONThe Product Design Specification (PDS) is a complete description o f the requirements, which the product must satisfy The following PDS (important features the design required) was drawn up with the aid o f the supervisors and the technical staff assigned to the project

(a) PerformanceThe design should be able to provide a linear flow o f air through a test section, into which various components can be placed for analysis The air flow provided must be comprised o f smooth, uniform streamlines and have sufficient air velocity

(b) Ease o f Use/Ease o f AdaptabilityThe design should obviously be as easy to use as possible, for the purpose o f speeding up experimental trials during the research This means the test section should allow easy loading and unloading o f particular components under investigation A lso the design should be easily adapted for use in other studies

(c) CostThis research is bemg funded by the IRCSET scholarship, which provides a materials/travel budget o f approximately €3000 per annum So the cost o f the design was required to be kept withm this budget

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(d) Size and WeightThe size o f the test section designed had to be carefully considered, as this would ultimately have an effect on the size o f the components, which were to be tested later Weight was not a major issue, however the overall size o f the design had to be considered, from the point o f view o f finding an appropriate location for the ng

(e) SafetyThe design had to comply with all necessary safety regulations Any moving or dangerous parts o f the n g required guards where possible and all electncal wires had to be insulated and earthed

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4 3 RESEARCH INTO THE AVAILABILITY AND COST OF ‘OFF THE SHELF’ WIND TUNNELSThe first step in finding a solution was to source a pre-built wind tunnel, which could be purchased This would be an ideal solution as it would significantly save time A number o f companies were sourced for what is widely referred to as research grade wind tunnels or instructional wind tunnels One such company was GDJ, Inc [58], this Ohio based company provides a choice o f three such wind tunnels, which were w ell suited for this program o f research However as detailed m Table 4 1, the cost o f these, which does not include delivery and VAT, was not be feasible with the allocated funding

Table 4 1 Quoted wind tunnel price list from GDJ Inc [58]GDJ Wind Tunnel Price ListModel # Description PnceFT-1440-90 Base Pnce Flotek 1440-90

(2 HP DC motor)$14,500 00 (-611 ,520 20)

FT-1440-15G Base Price Flotek 1440-150 (10 HP AC motor)

$18,500 00 (-€14,698 18)

FT-360-100 Base Pnce Flotek 360-100 $7,500 00 (-€5 ,958 77)

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4 4 INVESTIGATION OF POSSIBLE SOLUTIONS TO THE DESIGN PROBLEMThe above investigation into the purchasing o f a wind tunnel facility did not provide any realistic solutions to the problem, particularly m relation to the cost aspect So a different solution was required and the most suitable solution was to be the construction o f an m- house wind tunnel The possible use o f an existing n g (an Air Conditioning unit) within the School o f Mechanical and Manufacturing Engineenng was ruled out as this n g was not appropnate due to the large amount o f work required to modify it for this research The possible use o f a Cross-Flow Heat Exchanger n g (present in the School o f Biotechnology), scored a little better as it only required a small amount o f modification (Table 4 2) However further investigations discovered that sufficient air velocities were not being supplied by the fan The proposed research required a turbulent airflow (with Reynolds’s Numbers in the region o f 2 x 106Re), whereas the heat exchanger n g only provided a Reynolds number somewhere in the region o f 8 x 105Re At this point the option was to construct a new purpose built wind tunnel facility in-house to meet the demands o f the research The three possibilities are descnbed in Table 4 2 with the use o f a matnx analysis method

Table 4 2 An evaluation of the possible development methods of a wind tunnel facilityEvaluationCriteria

WeightingFactor

Air-ConditioningUnit

Cross Flow Heat Exchanger

In-House Construction of Wind Tunnel

Rank Score Rank Score Rank ScorePerformance 9 1 9 1 9 5 45Ease o f Use 8 2 16 3 24 4 32Cost 9 4 36 4 36 2 18Size and Weight

7 4 28 4 28 3 21

Safety 9 4 36 4 36 4 36Totals 123 133 152

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A weight decision matrix [59] was used to determine the ideal choice The weighting factor was determined by an objective decision means and was based on a 0 to 10 scale For example performance got a higher rank than size because it was deemed more important that the facility work effectively regardless o f the size The rank used a 1 to 5 scale to rank the performance o f each design concept for each evaluation criteria, 1 for inadequate, 2 for weak performance, 3 for satisfactory performance, 4 for good performance and 5 for excellent performance The final scores range from 123 for the AC Unit to 152 for the m-house construction option This showed that the AC unit would be least appropnate, while the heat exchanger would be more suitable with a score o f 133, however both these options fell down badly in the performance element, most notably because neither could provide the required airflow velocities Hence the reason for their low overall scoring and so the construction o f a wind tunnel was deemed the most suitable option

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So a thorough research o f wind tunnels and their history and developm ent was undertaken. Initially com m on types o f wind tunnels were identified. There are two basic types o f wind tunnels and two basic test section configurations [60], however there are endless variations o f this and most wind tunnel designs differ in som e way. The two basic types o f wind tunnel are; (a) open circuit and (b) closed circuit and the two basic types o f test section are; (a) open test section and (b) closed test section.

4.5.1 Possible Wind Tunnel D esignsOpen circuit wind tunnels work in the follow ing manner: air flow s in through the entrance, through a contraction zone to the test section, then through a diffuser, through a fan section and finally it is exhausted to the atmosphere (see Figure 4.1). This flow o f air is essentially a straight path from entrance to exit. The test section can either have solid walls (closed jet or Eiffel type) or alternatively no solid wall boundaries (open jet or National Physics Laboratory, NPL type) [60]. An example o f an open circuit closed jet wind tunnel is shown in Figure 4.1.

4.5 WIND TUNNEL DESIGN

Figure 4.1: An open circuit wind tunnel with a closed test section.

A closed return wind tunnel, som etim es referred to as the “Gottingen Type” [60], is set up in such a way that the air circulating through the test section is used continuously with

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little or no interaction o f this air with the atmosphere. An example o f this type o f wind tunnel is shown in Figure 4.2.

T O M N Q W O ORMrMW

Figure 4.2: A plan view of a closed circuit wind tunnel, from the Carderock Division o f Naval SurfaceW arfare Centre, USA [61J.

4.5.2 Open or Closed Test SectionA number o f important considerations must be made when deciding which test section type to include in a wind tunnel design. The most common and easily recognisable is the closed test-section arrangement. Open test-section set-ups have proven to provide good experimental conditions. However many have experienced severe flow fluctuation problems that have required extensive postproduction counteractive work [60]. A further requirement with the open test-section arrangement is the addition o f som e sort on enclosure around the test-section to prevent air from being drawn into the tunnel from outside the test-section rather than form the actual inlet [60].

4.5.3 Test Section SizeThis is in many cases the most com m on starting point when constructing a wind tunnel and in som e cases the decision o f the size o f the test section is dependent on the user, as it w ill depend on the size o f the models, which w ill be ultimately tested within the tunnel [60]. Obviously the ideal situation would be to build a wind tunnel, w hich would be capable o f handling a full scale vehicle, however this is not always practical and for the purposes o f this research wind tunnel this was certainly not the case. For this research

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then it was decided to have a rectangular test section with a cross section o f 300mm by 300mm This dimension could conceivably be any number, and the only consequence would be on determining the size o f model, which could have been tested within the rig A study o f other low speed wind tunnels, which are on the market [7, 58, 60], showed that this was a fairly typical value Therefore by using the rule that the model span should be less than 0 8 o f tunnel width [60], this will allow for a model with a maximum total span o f 240mm, this however may be highly dependant on the model geometry, the model used in this research was a rectangular blunt plate

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4.6 WIND TUNNEL CONCEPTUAL DESIGNS

4.6.1 Concept 1The first concept is the Blower Type Wind Tunnel and is perhaps the most obvious choice when the required function is to provide an airflow (see Figure 4.3).

Figure 4.3: Blower type wind tunnel, adapted from [60].

This tunnel design is driven by an impeller at the entry, which is usually a centrifugal fan [60]. This design is based very much on a fluid flow simple principle, w hich is seen in car water pumps or even more evidently in a domestic hairdryer. With this design air is drawn through a filtered inlet into the aforementioned centrifugal fan it then expands through a wide angle diffuser to the settling chamber. The air flow s through a honeycom b and a graduated screen to remove turbulence and provide a smooth air flow. This air flow is then accelerated to the desired velocity through the contraction zone and finally released into the test section [60]. Once the flow has passed through the test section it is

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then discharged into the atmosphere This system is an open, non-return type (air is not re-circulated) and the advantages and disadvantages are given in Table 4 3

Table 4 3 Advantages and disadvantages o f blower type wind tunnel [60]Advantages Disadvantages

• Simple design and hence shortened construction times

• Problems may arise trying to create a basic operating principle o f a wind tunnel, that is obtaining a smooth air flow which will be free from the turbulence induced by the centrifugal fan

• Purging will not be a problem during smoke tests

• Operating costs w ill be high, as the air is not re-circulated

• Relatively low construction costs • N oise levels will tend to be very high

4 6 2 Concept 2This concept is based on the conventional open-retum wind tunnel and is often used for simple scaled model experiments and instructional purposes This design differs from Concept 1 mainly m positioning o f the fan, which is used to power the airflow This fan is a multi blade axial and is located at the exit o f the wind tunnel The operation works in either o f two ways

I) Ambient air can be drawn through an inlet, into a settling chamber where it passes through a honeycomb inset and an anti-turbulence screen and is then contracted down to be discharged into the test chamber as a highly-uniform jet o f rectangular cross section o f air

OrII) The air is drawn in through a bell shaped mouth, which provides the wind tunnel with its contraction zone, then passes through a screened honeycomb section and an anti-turbulence screen before entering the test section

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The air then, once it passes through the test section, enters a diffuser, w hich slow s the air down It is then conveyed through the axial fan and exhausted to the atmosphere Once again with Concept 2, air is not re-circulated, as shown in Figure 4 4 The advantages and disadvantages o f this system are described in Table 4 4

m o t oil □contraction zone

Figure 4 4 Open circuit wind tunnel arrangem ent

Table 4 4 Advantages and disadvantages o f open return wind tunnel |601Advantages Disadvantages

• Sim plicity o f the design is high, indicating an ease o f manufacture and so low manufacturing times

• For a given size and speed, the wind tunnel w ill require more energy to run

• There w ill be no purging problems when carrying out flow visualisation via smoke

• N oise levels w ill tend to be high, which may limit the hours o f operation or require extensive noise treatment o f the tunnel and surrounding room

• Construction costs are typically low

4 6 3 Concept 3The third concept is perhaps the m ost com m on wind tunnel design, which is in operation today This is the closed return wind tunnel This concept is very similar to Concept 2 in its operation except that the air, which is passed out o f the test section, is reused This is achieved sim ply by using extra ducting to connect the outlet to the inlet [60] This step

Air Flow

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results in four com ers being added to the system, which often adversely affect the airflow H owever to overcom e this problem all com ers are fitted with turning vanes to provide efficient turning o f the airflow The advantages and disadvantages o f this system are described in Table 4 5

Table 4 5 Advantages and disadvantages o f closed return wind tunnel [601Advantages Disadvantages

• The quality o f the flow can be easily controlled, through the use o f com er turning vanes and honeycom b screens

• The initial cost is extremely high due to the return ducts and cornering vanes

• The airflow is independent o f other activities in the building and/or weather conditions

• Manufacturability is reduced due to an increased number o f parts and also the need to ensure that the com er ducting is set up correctly so as not to impede the airflow

• Less energy is required for a given test section size and velocity

• Manufacturing time w ould also be extensive as a result

• There is less noise when operating • If used for smoke flow visualisation experiments, problems w ill arise due to purging o f the tunnel

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Each o f the previous concepts were analysed under the following eight headings, which were adapted from Eide et al [62] These were

1 Effectiveness (Compliance to specification) This is basically a measure o f the ability o f the wind tunnel to create a smooth flow o f air through the test section which will be free o f turbulence and which will provide the required Reynolds’ Numbers

2 Ease o f Operation Each concept w ill be evaluated on the level o f difficulty associated with its set-up and during its use

3 Ease o f Manufacture This will compare each concept m terms o f the relative simplicity or complexity o f the design As the more complex a design the more difficult it will be to manufacture and assemble and consequently the greater the time which this will take

4 Cost This w ill consider the total cost o f the project including the amount o fmatenal and type used to machine any parts in house Obviously it will alsoinclude any parts / components which are bought in, but excluding labour costs

5 Reliability It is important to evaluate each concept on its potential for breakdown as such an occurrence would be unwelcome and could ultimately affect the overall timeframe o f the research

6 Versatility This factor will evaluate each o f the concepts on their respectivecapabilities to deal with an array o f different set ups for various experimental testsor flow visualisation techniques, such as conducting smoke tests

4 7 CONCEPT ANALYSIS

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7 N oise Control The amount o f noise, which is provided by the various concepts, may limit the hours o f their use and so needs to be considered for deciding upon the optimum design

8 Size This factor will compare the overall sizes o f the concepts and the possible effects o f this

4 7 1 Concept Evaluation Weighted Decision MatrixThe above headings were ranked on a 0-10 scale, this was done objectively and resulted in a variation in the ranking scores For example effectiveness and cost scored 9 whereas noise and size only scored 6 and 5 respectively This was simply because it was deemed more important that the facility operate correctly and its construction remain under budget and less important was the amount o f size it made and its overall size From the results o f the matrix analysis it can be seen that Concept 3, the closed return wmd tunnel design scored the worst for the following reasons

• This design was the most complicated o f all and would be the most difficult to design and assemble

• Also the potential cost o f this design means it would not have been a viable design option

Concept 1 scored slightly better than Concept 3, with a score o f 215 The mam failure points o f this design were as follows

• This design would provide an easily controlled airflow, however the quality o f this may not be o f the highest as it may be highly turbulent

Concept 2, the open return wmd tunnel scored the best with a total o f 222 There were a number o f factors that determined this and these were as follows

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• This design provides an airflow, which will be much more streamlined, and regular

• This design was also very simple to design and assemble• It was also a relatively cost effective design to manufacture

Therefore, (as shown to be developed further in the next section) the open return wind tunnel design was selected as the chosen design

Table 4 6 An evaluation of the suggested concepts using a weighted decision matrixEvaluationCriteria

WeightingFactor

Concept 1 Concept 2 Concept 3

Rank Score Rank Score Rank Score1Effectiveness

9 4 36 5 45 5 45

2 Ease o f Operation

8 5 40 5 40 5 40

3 Ease o f Manufacture

8 4 32 4 32 2 16

4 Cost 9 4 36 4 36 3 275 Reliability 7 3 21 3 21 3 216 Versatility 7 4 28 3 21 3 217 Noise control

6 2 12 2 12 3 18

8 Size 5 2 10 3 15 2 10Total Design Concept Weighted Score

215 222 198

*Note This matrix evaluation table is similar to the method used in Table 4 2

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4.8 THE OPEN RETURN WIND TUNNELThe open return wind tunnel was selected as the most appropriate for the given research. H owever as previously mentioned, there are a number o f variations o f this type o f wind tunnel and these were then investigated.

The illustrations below (Figures 4.6 to 4.8) indicate the variations, which were possible with Concept 2. All three have the same basic set-up but each have their own individual parts and functions also. From these set-ups the final design for the wind tunnel was selected using another weighted decision matrix.

Air Flow

Figure 4.6: Open Return wind tunnel Type 1.

ex it/flow spreader

Figure 4.7: Open Return wind tunnel Type 2, adapted from [601.

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Figure 4 8 Open Return wind tunnel Type 3, adapted from [60]

4 8 1 W eighted D ecision MatrixFrom the results o f the matrix analysis it can be seen that Type 2 design scored the least (194) for the follow ing reasons

• With this design the air enters into a long settling chamber, then it is contracted down just prior to entering the test section This would not be appropriate especially when dealing with the use o f an extremely long test section to a llow the boundary layers to form

The Type 1 design scored marginally better (208), however• It uses an additional vertical diffuser, this is considered unnecessary, once a fully

controllable variable speed motor can be used to control the speed o f the fan This vertical diffuser may also be problematic in terms o f disruption o f the air flow

The Type 3 design has scored the best result (225) and was chosen for the follow ing reasons

• This design w as probably the m ost basic design o f the 3 options• It w ould provide the required air flow , with sufficient space within the settling

chamber to allow the development o f the airflow and also has the very simple characteristic o f exhausting the used airflow directly into the atmosphere once it has passed through the fan

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Table 4 7 An evaluation of the Open Return wind tunnel concepts using a weighted decision matrixEvaluationCriteria

WeightingFactor

Typel Type 2 Type 3

Rank Score Rank Score Rank Score1 Effectiveness 9 5 45 3 27 5 452 Ease o f Operation

8 4 32 4 32 4 32

3 Ease o f Manufacture

8 3 24 3 24 4 32

4 Cost 9 3 27 4 36 4 365 Reliability 7 3 21 3 21 3 216 Versatility 7 3 21 3 21 3 217 Noise control 6 3 21 3 21 3 218 Size 5 4 20 3 15 4 20Total Design Concept Weighted Score

208 194 225

*Note This matrix evaluation table is similar to the method used in Table 4 2

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4.9 DETAILED DESIGN

4.9.1 Final D esignThe final design concept chosen is shown both in Figure 4.9 and 4.10. This is largely the same as that outlined in the concept stage. However a more detailed account o f its geometrical design and construction w ill now be discussed plus any differences from the concept design w ill be highlighted and the reasons for their need explained. A more detailed CAD drawing can be found in the Appendices (see Appendix A).

I ndex De j l ì i p h o n

1 Con N oc \ i on Zone

? S q u o r t S«c1 ion { h o u s e s hor\ey<omb]

3 T es t s e t h o n

4 S q uar e Set i ion U o n n * < 1 >1 c Si Sect i on 1o D i f f u s e r >

5 Di f fu sei 7one

fc A x i a l Fon

Figure 4.9: Layout o f W ind Tunnel Assembly from the CAD package used for the design.

4.9.2 Developm ent o f the DesignThe overall aerodynamic objective o f this rig is to provide a flow in the test section that is as near as possible to a parallel steady flow. Obviously, as with every design, this objective is bounded by such constraints as cost, time, space and knowledge.

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1.) Basic D ecisionsThe present research aimed to work at turbulent airspeeds, so this then implied that a minimum Reynolds Number o f 2 x 106, based on a characteristic length o f 2m, must be present. The provision o f the required Reynolds number was determined by two main factors; i) the size o f the test section and ii) the size o f the fan which supplies the airflow to the test section.

2.) Test SectionThe test section was designed with the idea o f an instructional wind tunnel in mind, so therefore it was kept small. A cross section size o f 300m m x 300m m was selected (Figure4.10) and since the present research investigated boundary layers, sufficient space had to be given to allow for the development o f the layers so an overall length o f 2m was designed. The units total cost was €707.85.

Figure 4.10: The test section of the wind tunnel.

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3.) Power ConsiderationsIt was decided to use a simple axial fan (Figure 4.11) to provide the airflow for the wind tunnel, although this type o f fan would not be as powerful as a centrifugal fan, it was considerably less expensive. The first step was to source a supplier o f such an item (W oodleigh Ventilation), and then a decision was made as to the flow rate required by the fan. For this the CFD package FLUENT was utilised by producing a model o f the test section within the package and applying the varying flow rates associated with each fan in order to determine the most suitable. It was concluded that the ZAC 710-43 m odel fan would generate the flow rates required for the research. The ZAC 710-43 is a short cased axial fan with an external rotor motor and an aerodynamically designed impeller to provide a very compact, efficient flow. W hen incorporated into the wind tunnel design this provides the unit with a maximum speed in the region o f 30m /s, which equates to approximately 108km/hr. Further details o f the fan are also given in Appendix B.

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4.) Tunnel ComponentsThe other components o f the wind tunnel include the contraction, diffuser zones, honeycom b and the frame (which holds all the parts together and in place), together with a number o f smaller parts, which w ill be noted. The contraction (Figure 4.12) and diffuser (Figure 4.13) zones were simply constructed using ducting similar to that used in air-conditioning systems. These had to be constructed in such a manner so as to join up perfectly with the test section and also with the fan depending on their position within the wind tunnel set-up. The contraction section was relatively easy to manufacture as it was a simple square to square section. The major consideration when it came to the contraction zone was what degree o f contraction ratio was required. For this project the end design incorporated a contraction ratio o f approximately 12:1, which in conjunction with the honeycom b would supply a flow o f air with a very low level o f turbulence [63]. A number o f varying contraction ratio assem blies were examined using the FLUENT software, however as the contraction ratio was reduced the degree o f turbulence within the test section was seen to increase significantly. That is, from the resulting velocity vector plots, an increase in the unsteady nature o f the flow was observed.

Contraction zone

Figure 4.12: The contraction zone, with a contraction ratio of 12:1.

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The diffuser section (Figure 2.13) was a little more difficult to manufacture, as it was required to be a square to round section, going from the square cross section o f the test section to the round cross section o f the fan.

Figure 4.13: The diffuser with its square-to-round arrangement.

Another consideration was the actual length o f the diffuser section and hence the gradient o f the diffuser angle. Previous experience on Wind tunnel design have shown that the air w ill not expand in a streamlined manner unless it follow s a boundary slope o f 10° or less to maintain an ordered expansion [11]. If this angle in the wind tunnel (see Figure 4.13) was found to be greater than 10°, it would result in a separation o f the airflow within the tunnel and hence the creation o f random and unwanted turbulence [11]. For this design the actual diffuser angle was calculated as approximately 9.8°. Two additional straight sections o f ducting were also included in the design to aid in the connection o f both the

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diffuser and contraction zones to the Perspex test section. One o f these sections was later used to house the honeycom b section.

Figure 4.14: Illustration o f a simple wind tunnel with a 10° diffuser angle.

According the Prandtl [63], “a honeycom b is a guiding device through which the individual air filaments are rendered parallel”. There are a number o f different types (Figure 4.15) o f honeycom b mentioned by Prandtl [63]. The design parameters for honeycom bs are the ratio of; streamwise length to single cell diameter. For maximum overall benefit o f a honeycomb section the cell size should be about 6 to 8 tim es the diameter [62], but typical length-to-cell diameter ratios are in the region o f 5 to 10 [64].

Figure 4.15: Four types o f honeycomb [60]

The honeycom b section (Figure 4 .15(c)) used for the present research actually had a length-to-cell diameter ratio o f approximately 10.5, this is slightly outside the typical values as stated previously, however this does not adversely effect the quality o f the airflow, instead it may result in a higher honeycom b loss coefficient. That is a reduction in the airflow rate through the test section.

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Figure 4.16: The honeycomb section.

The framework for the wind tunnel was designed, manufactured and constructed in- house. This took the shape o f three separate stands (Figure 4.17- 4.19), one for the contraction zone, one for the test-section zone and one for the diffuser/fan zone.

Figure 4.17: The contraction section support frame.

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The framework was constructed out o f box-section steel and plywood. The technical drawings for this framework are also presented in this report (see Appendix C).

Figure 4.18: The test section support frame.

The points o f contact between the various sections o f ducting and between the ducting and the test section were improved upon with the addition o f some rubber sheeting inserts. This simple action helps to improve the quality o f the seal at these connection points, which helps to reduce any loss suction throughout the wind tunnel.

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Diffuser Support FrameControl box for the axial fan

Figure 4.19: The diffuser section support frame.

5.) SafetyA s specified in the PDS all dangerous parts were to be guarded o ff where possible, and therefore a number o f safety features were added to the rig. The most dangerous part o f the design was the rotating blades o f the fan. So a protective wire mesh covering was added to the outlet side o f the fan, to prevent the potentially serious injury to any person (Figure 4.14).

Meshed Guard on outlet side o f axial fan.

Figure 4.20: W ire mesh added to the outlet side o f the fan for increased safety.

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Another feature o f safety was in relation to the supply o f power to the rig and the fan motor, a switch was added to the power line, so that the fan would not have to be plugged in and out every time the wind tunnel was used. Ear plugs are supplied for all who work within the wind tunnel facility, as the noise from the fan could becom e damaging over a sustained period o f time. It was also proposed that a section o f wire mesh be added into the tunnel just after the test section. The function o f this was simply to protect the fan blades from anything placed in the test section, which may becom e loose during testing and get sucked into the fan. This was downstream o f the test section and hence the test pieces examined and hence did not affect the flow.

Figure 4.21: Inserted wire mesh to add protection to the fan as well as any test pieces placed in thetest section.

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4.10 FLOW MEASUREMENT INSTRUMENTATIONThe main interest o f this research, being boundary layers, dictated what data measuring information was required from the experimental work; that being the velocity profiles o f the airflow across the test bodies in question.

4.10.1 PressureNumerous instruments have been devised to indicate the magnitude o f pressure intensity, and most operate on either the principle o f manometry or the principle o f flexing an elastic member w hose deflection is directly proportional to the applied pressure [7].

• ManometryThis utilises the change in pressure with elevation to calculate pressure. Consider a piezometer or simple manometer, attached to a pipe as in Figure 4.22(a). The gauge static pressure at the centre o f the pipe is calculated as follow s [7]:

p = yh Equation 4.1Where p is the pressure (N/m ), y is the specific weight (N/m ) and h is the height (m).

This type o f pressure indicating device is accurate and simple, but impractical for high pressures. A lso it is useless when it com es to pressure measurements in gases [7]. The use o f a U-tube (a differential manometer), as shown in Figure 4.22(b), was em ployed in this case.

Figure 4.22: (a) A Piezometer attached to a pipe, (b) A U-tube manometer. Adapted from [7].

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The free stream velocity o f the flow w ill be evaluated from the free stream dynamic pressure. This can be determined from the application o f Bernoulli’s equation. This equation relates the pressure, velocity and elevation between any two points in a flow field for flow that is steady, irrotational, nonviscous and incompressible [7]. The use o f this technique to determine the velocity, o f what is a viscous flow field, has been used in similar experimental work previously [60, 66 - 68]. This has becom e a standard practice. It would o f course be more ideal to apply Navier-Stokes equations to this boundary layer region since the viscosity is changing. However a method o f measuring this changing viscosity was not available within this research. So a constant viscosity was assumed and hence the application o f Bernoulli’s equation to determine the velocity.

• Pitot TubeThe Pitot tube is used to measure the velocity o f a stream, consists primarily o f a simple L-shaped tube facing into the oncom ing flow (Figure 4.22). The secondary elem ent is a differential pressure measuring device. In operation, the differential between the stagnation pressure at the tip o f the Pitot tube and the static pressure at the wall o f the closed conduit is measured. It measures the local velocity o f flow at a particular point within a flow field rather than the average flow velocity. It is mainly used for making temporary measurements o f flow.

4.10.2 Velocity

Figure 4.23; The Pitot tube, adapted from [8,651.

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If the velocity o f the stream at A is u, a particle moving from A to the mouth o f the tube, B, will be brought to rest, so that uq at B is zero By Bernoulli’s equation,

— + — + z, = — + — + z 2 Equation 4 2r 2g y 2g

Total Energy per unit weight at A = Total Energy per unit weight at B,

— + — Equation 4 32 g pg 2g pg— + Equation 4 4

Pg 2g Pg

since u0 = 0 Thus, p0 will be greater than p N ow p/pg = z and po/pg = h + z Therefore,

— = — — — = h Equation 4 52 g pg

V elocity at A = u = s]{2gh) Equation 4 6Where u is the V elocity o f the flow (m/s), g is gravity (m/s2) and h is the height o f liquid (m)

When the Pitot tube is used in a pipe section (such as a wind tunnel test section), the difference between the static pressure and the pressure at the impact hole must be measured with a differential pressure gauge, using a static pressure tapping at the pipe wall This can again be calculated using a manometer The Pitot tube used in this research had an outer diameter o f 7mm This may seem quite large in comparison to the size o f the boundary layer thickness to be measured, however probe interference was not seen to be an issue since the point o f flow being measured is directly upstream o f the device

• Hot Wire anemometerThe hot-wire anemometer is another measuring device useful for measuring fluctuations in air velocity This device is particularly suitable for measuring rapid changes in velocity and unlike the Pitot tube, its small size does not seriously disturb the nature of the

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surrounding flow [7]. The hot-wire anemometer works in the follow ing way: Its key element is that o f a very small wire (the sensing element), which is heated. It is attached to supports and placed into the fluid flow. The wire is then caused to cool because o f convective heat transfer o f the air flow. Since this rate o f cooling is a function o f the speed o f flow past the heated wire, the voltage across the wire can be correlated with the velocity [7]. The use o f the hot wire anemometer was also a very convenient way o f validating the velocity reading being obtained by the Pitot tube.

4.10.3 Developm ent o f the Instrumentation EquipmentThe use o f a Pitot tube was incorporated into this stage o f the development o f the air flow facility. This was a simple method for recording o f velocities from within the test section based on the principals described in section 4.10.2.

Mid-plate could be adjusted via the micrometer hence the Pitot tube could be lowered or raised as desired

Figure 4.24: Shows a front and side view o f the Pitot tube positioning mechanism.

So a mechanism was designed and produced in house for mounting the Pitot tube in position. This is shown in Figure 4. 24. This mechanism was designed so as to provide a vertical traversing m ovem ent o f the Pitot tube tip within the test section. The lateral

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positioning o f the Pitot tube then could be altered by positioning it in a different opening in the test section’s upper surface. The complete CAD drawings for these parts are included in Appendix D. A micrometer was integrated into this piece o f instrumentation, so as to allow for exact movements o f the Pitot tube and to allow on a whole for the production o f more accurate results. The Pitot tube itself then was connected to a manometer which is shown in Figure 4.25 below. From this then the pressures from the tip o f the Pitot tube could be measured and recorded.

Figure 4.25: Pitot tube in specially designed positioning device connected up to m anometer

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4 11 EXPERIMENTAL PROCEDURE

4 111 Specification o f Test PiecesThe initial experimental tests were earned out using three separate flat plates the specifications o f which are given in Table 4 8 Each o f the plates m turn were placed in the test section o f the wind tunnel and secured in place before turning on the fan The reason why three test pieces was used was to investigate i f the length o f the test pieces had any influence on the boundary layer developmentTable 4 8 Specifications o f the flat plates used in the experiments

Test Piece Length(m) Width(m)* Thickness(m)1 05 02 00182 1 02 00183 1 5 02 0018

*Note The total tunnel width = 0 3m 0 05m gap between plate ad tunnel wall

4 1 1 2 Design o f Experimental ProcedureIn order to measure the boundary layer development across each o f the plates, a profile o f the velocity was taken at three locations along each o f the plates at an axial distance, x, from the leading edge o f the plate, the details o f which are given m Table 4 9 Details o f this ‘axial distance’ measurement are displayed in Figure 4 26 for the 3 test pieces

Table 4 9 Specifications of the axial positions, o f each test piece, at which the velocity readings were takenTest Piece 1st Axial Position (m) 2nd Axial Position (m) 3rd Axial Position (m)

1 1 - 1 x = 0 125 2 - 1 x = 0 25 3 - 1 x = 0 3752 1 - 2 x = 0 25 2 - 2 oIIx 3 - 2 x = 0 753 1 - 3 x = 0 375 2 - 3 x = 0 75 3 - 3 x — 1 125

For each o f the test pieces the readings taken from the expenmental procedure comprised o f the pressure reading from the manometer and the vertical distance, y, from the tip o f the Pitot tube to the surface o f the test piece The manometer, which was zeroed before each expenment, measured the pressures at the tip o f the Pitot tube in ‘mm o f H20 5

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Therefore this had to be converted into its SI equivalent for inclusion in the formulae to determine the velocity. This conversion was o f the order o f 1 m m ltO = 9 .79706 Pa [69], where ImmHaO is simply one millimetre o f water, which is the measurement used on the inclined manometer. The vertical distance was measured using a scale which was attached to the Pitot tube arrangement. The readings taken for each o f the plates were com plied in a spreadsheet and used to calculate the velocity o f the flow at each axial location using the workings o f Equation 4.6 as detailed previously in this chapter (Section 4.10.2). These procedures were completed for each test piece and at each axial location and a similar analysis was then conducted within the CFD package to allow for a comparison between the two techniques (experimental and numerical).

Volume

p p l qrMgJJJjg

VMtti(X)

Depth(Y)

CoonSnate Sys. il

GAMBIT Solvei : Generic It): default id L !cr fk

Global ControlActive

2nd Axial Location x d . 41.47

x<l - «0.5 «1.12 Sn»

x d = 24.SI <*.37Sni>

1

x d = 6.94<#.125m> TEST PIECE 2

2nd Axial Location

X.H =

Central axis along « N e h all oxp«ii«mntal lead ings Met« taken

x d > 13.89 (0.25ml

TEST PIECE 3

Figure 4.27: x/d m easurements for each o f the three test pieces.

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4 113 Analysis o f Leading Edge RegionOnce the initial readings were taken across the full length o f each test piece, attentions were turned to the region o f the test pieces towards the leading edge This consisted o f the same procedures as before, but readings were taken from the concentrated area o f x = 0 0 1 m to x = 0 1 m from the leading edge for intervals o f 0 01m The information recorded at this stage was complied in a spreadsheet, as with previous readings, for ease o f analysis

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CHAPTER 5, RESULTS AND DISCUSSION5 1 EXPERIMENTAL RESULTS

5 1 1 Comparison o f Air VelocitiesThe wind tunnel was designed to incorporate an axial fan which would provide the required airflow to the test section (as descnbed in Chapter 4) Computational Fluid Dynamics was integrated into this process to aid in the decision as to which fan size to include m the design However due to the nature o f the wind tunnel design with its contraction and diffusion zones, the exact velocity within the test section could only be estimated prior to the tunnel’s construction One o f the first steps when the wind tunnel was fully constructed and operational was to take a record o f the range o f velocities which could be provided within the test section This was first calculated with an air velocity meter (a hot wire anemometer) and then using a Pitot tube/Manometer arrangement to validate the experimental data The recorded readings are shown in Table 5 1 The free stream air velocity was measured at the centreline o f the test section

Table 5 1 W ind tunnel test section velocities as measured with the different devicesMeasurementDevice

Fan Setting Number

Test 1 Test 2 Test 3 Mean Values

m/s (km/hr) m/s (km/hr) m/s (km/hr) m/s (km/hr)Air Velocity Meter (hot-wire anemometer)

1 11 36 (40 89) 10 98 (39 52) 11 14 (40 1) 11 16(40 18)2 16 11 (57 99) 16 14(58 1) 16 15(58 14) 16 13 (58 08)3 19 88 (71 57) 19 93 (71 75) 19 89 (71 60) 19 9 (7 1 64)4 22 88 (82 38) 23 34 (84 02) 23 65 (85 14) 23 29 (83 84)5 26 77 (96 36) 27 08 (97 47) 27 30 (98 28) 27 05 (97 8)

Pitot Tube / Manometer

1 10 29(37 06) 10 82 (38 95) 10 81 (38 91) 10 64 (38 3)2 15 40 (55 43) 16 23 (58 42) 16 23 (58 42) 15 95 (57 43)3 19 64 (70 72) 19 22 (69 19) 19 18 (69 05) 19 35 (69 65)4 22 52 (81 07) 23 52 (84 66) 24 11 (86 80) 23 38 (84 18)5 26 12 (94 04) 28 13(101 27) 28 11(101 20) 27 45 (98 83)

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In general the Pitot tube / Manometer measurement o f the velocity o f the air within the test section did not differ significantly from that recorded by the air velocity meter (maximum difference was 0 55m/s from the 3rd fan setting) It should be noted that the air velocity meter used m the course o f this work had an accuracy specification o f ±3% o f the reading It should also be noted that the air velocity meter had a maximum working range o f up to 30m/s and since the fifth fan setting approached this maximum range, it can easily be assumed that this could have led to a reduction o f accuracy in the readings as the velocity readings neared this maximum range A further and more concise comparison o f the test section velocities is presented in Figure 5 1 This graph (Figure 5 1) shows the result o f plotting the average velocity reading from the air velocity meter and the Pitot tube / Manometer for each fan setting So the results show a good deal o f agreement overall However there is a vanation in the Pitot tube results between tests 1, 2 and 3, for example at the 3rd fan setting there is a vanation between 19 18m/s and 19 64m/s, which is a maximum difference o f 0 46m/s This must be compared to that o f the difference between the fan settings themselves, which for setting 2 to 3 is 3 4m/s, which gives a 13% vanation which was deemed acceptable However this must be taken into context, considering the air velocity meter has an accuracy specification o f ±3% The significance o f these errors is therefore largely negligible Once venfication o f the wind tunnel had been completed and with satisfactory results, the expenmental testing o f the flat plates began

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Figure 5.1:Shows the wind tunnel velocities (within the test section) corresponding to each o f the §settings for the axial fan.

5.1.2 Boundary Layer Developm ent Results - Part 1Each o f the three test pieces, as detailed in Chapter 4, Section 4.11, were placed in turn into the test section and measurements were taken in order to determine the profile o f the developing boundary layer across each test piece. This was conducted at the first fan setting, which produced a Reynolds number o f 1.84 x 105 based on a length o f 0.25m , which distance from the tunnel’s entry to where the test piece was located. The Reynolds number was 1.47 x 106 based on the 2m length o f the whole test section. It should be noted that a laminar boundary layer was assumed in the course o f this study (although it may have been heading towards transition this was not considered). A lso the presence o f a separation bubble was anticipated which would have resulted in the flow turning from laminar flow before the bubble to a turbulent flow downstream o f this. A s mentioned in

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Chapter 4 the velocity readings were taken at specified locations along each o f the test pieces. These locations have been presented again in Figure 5.2 for the 1st test piece. It should be mentioned that over thirty velocity readings were recorded at each o f the 3 axial locations shown in Figure 5.2.

3rd Axial L o c atio n x d = 20.83 (0 .3 7 5 m )

Figure 5.2: A graphical illustration of the axial locations for test piece 1. The velocity data was taken along the vertical lines at each o f the three locations.

The follow ing three graphs, Figures 5.3 to 5.5, show the velocity distribution at each o f the three axial locations (x = 0.125m , 0.25m and 0.375m ) for the first test piece (length = 0.5m ) when subjected to an airflow o f ~10.64m /s. It should be noted that these values are accurate to ± lm m o f the reading. What must be noted from these graphs, (figures 5.2- 5.4), is simply how the velocity profile develops from the 1st to the 2nd to the 3rd axial location along the plate. Looking at Figure 5.3 the air flow over the plate starts at zero on the plate and develops over a certain distance to mainstream velocity (where the graph line straightens vertically). Figure 5.6 shows how this would compare to that in literature. The non-dimensional form o f these graphs has also been plotted alongside the dimensional form as is normal boundary layer custom. The edge o f the boundary layer which gives Uoo and 6 had to be estimated from the dimensional plots. A comparison o f the plotted data was also made using the turbulent boundary layer seventh law, which states:

uÜi

iEquation 5.1

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The similarity o f the resulting plots is evident. However the differences within the plot are likely due to the fact that the seventh law is for an equilibrium turbulent boundary layer which does not occur immediately after a laminar separation bubble. What occurs there is referred to as a relaxing turbulent boundary layer, which has a different velocity profile [70].

A AC

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Figure 5.3: Velocity profile for Test piece 1 at the 1st axial location.

Figure 5.4: Velocity profile for Test piece 1 at the 2nd axial location.

Figure 5.5: Velocity profile for Test piece 1 at the 3rd axial location.

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Fiee Stream Velocity

Vo Vo

7777777

99% Vo

Nominal Edge of Boundary Layer

7777777s«nac*(a)

Eo<DO

Q<TJot:<t>>

Velocity (m/s)(b)

Figure 5.6: Compares the developm ent o f a boundary layer from literature (a) to that obtained inthis research (b).

The important point in each graph (Figure 5.3-5.5) is the position o f the maximum velocity (~11.75m /s) vertically above each axial location, then where the velocity o f the airflow reaches 99% o f the mean flow velocity within the test section. This can be assumed to be the outer edge o f the boundary layer, as explained in Chapter 2. Each o f these vertical points were taken from Figures 5.3 to 5.5 (also from the experimental data obtained for test pieces 2 and 3 which is presented in Appendix E) and com bined to represent the boundary layer development o f the airflow over each test piece (1, 2, 3) as shown in Figure 5.7.

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Boundary Layer Development0 . 0 6

. 0.05

| 0.04

1 0.03

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• test piece 1 a test piece 2 ■ test piece 3

Figure 5.7: Developm ent o f the boundary layer across the full length o f each o f the three test pieces.

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A s the overall height o f the wind tunnel test section above the flat plate is 0.15m , it may be observed that the boundary layer development was unaffected by the test section walls. A lso it should be noted that the measurements obtained for the each o f the other two test pieces gave similar results, in terms o f the profile and growth o f the developing boundary layer, as shown in Figure 5.7. The results created from using just three axial locations along the plate is sufficient to show the boundary layer development from the first to the second axial point and similarly from the second to the third, but it was assumed that the boundary layer started from the leading edge o f the plate however this may not be the case, so a more detailed analysis o f this leading edge region needs to be conducted and this is presented in the follow ing section.

Table 5.2: Gives the data used to create the graph o f the boundary layer developm ents shown in Figure 5.7, where x/d is the axial location along the plate and y is the vertical distance above the plate.__________________________________________________________________________________________

B oundary L ayer Developm entTest Piece 1 Test Piece 2 Test Piece 3

x/d y x/d > x/d y0 0 0 0 0 0

6.944444 0.0225 13.88889 0.0235 20.83333 0.048513.88889 0.0235 27.77778 0.0385 41.66667 0.048520.83333 0.0285 41.66667 0.0485 62.5 0.0485

5.1.3 Boundary Layer Developm ent Results - Part 2The Boundary Layer development results for Test Pieces 2 and 3 are presented in the follow ing section.

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3rd Axial Location 3rd axial Location

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| • Velocity profile from experimental data | | • Non-dimensional velocity profile a 1/7 power law

£ O 06

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Figure 5.10: Velocity profile for Test piece 2 at the 3rd axial location.

1st axial Location 1st Axial Location

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| * Velocity profile I

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Figure 5.11: Velocity profile for Test piece 3 at the 1st axial location.

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An experimental investigation o f the leading edge region o f test piece 1 was carried out at the first velocity setting. The readings taken were com piled in a spreadsheet and used to calculate the velocity o f the flow at each axial location using Equation 4.6. Similar to before, this leading edge region was divided up and the Pitot tube readings were taken at a number o f axial locations out from the plate’s leading edge. Again over thirty readings were taken at each o f the ten axial locations within the leading edge region, giving a much more accurate account o f the various changes in the velocity o f the airflow and hence the boundary layer development in this region.

5.1.4 Separated Flow at Leading Edge

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Figure 5.14: A plot o f the velocity o f the airflow close to the leading edge o f the test piece showing thedevelopm ent o f the separation region.

The above graph in Figure 5.8, gives a visible presentation o f the velocity o f the airflow across the surface o f test piece 1, near to the leading edge. The separation o f the flow from the surface o f the plate has resulted in a region o f low pressure; this was recorded by the Pitot tube and is therefore an indication o f the presence o f a region o f separated flow. A significant point on the graph is where the boundary layer crosses the x-axis, and hence the velocity o f the flow returned to Om/s. Due to the size o f the Pitot tube used the exact velocity at the plate surface could not be measured but the point at which the velocity reached a minimum was assumed to be the reattachment point. This is an indication o f the point where the flow re-attaches with the test piece and from the experimental analysis this was seen to occur at x/d = 4.444. This can be compared to the value o f xr/d = 4.48 as recorded by Sam et al. [36] (Chapter 2, Section 2.6). This means therefore, a

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difference between the results obtained in this research and those from literature in the order o f just 5 4% The total profile o f the boundary layer over test piece 1 is a com bination o f Figure 5 7 and Figure 5 8, as is shown in Figure 5 9 The boundary layer developm ent across test piece 1 (length = 0 5m) was shown then to have a relatively uniform structure once it has overcome the initial separation region w hich occurs close to the leading edge o f the plate This also indicates that the m ost significant developments within the boundary layer occur close to the leading edge and for a laminar flow condition the interference o f the flow with the surface o f the body is less o f an influencing factor

Complete Boundary Layer Development

• developing boundary layer

Figure 5 15 The developm ent o f the boundary layer across the full length o f test piece 1

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5.2 COMPUTATIONAL FLUID DYNAMICS RESULTSThis stage o f the research was carried out within the FLUENT software package. In order to validate the simulation results against experimental results in a ‘virtual’ wind tunnel, as shown in Figure 5.10, the simulation geometry was set up with the same dim ensions as that o f the test section o f the wind tunnel designed for the experimental work. The test pieces were then placed into this ‘virtual’ wind tunnel in turn and the results obtained.

0.5m) in place.

5.2.1 Generation o f the model within GambitThe m odel was first drawn up within the Gambit package and then m eshed using the Face Mapped meshing schem e and using Quad elements. The element edge size was set at 0.001m . With the first test piece in place this resulted in a total cell count o f 591,000.The total cell count for test pieces 2 and 3 was 582,000 and 573,000 respectively The mesh concentration was uniform across the whole model and the first cell centre above the wall o f the m odel was located at 0.0005m . A magnified view o f the mesh in around the leading edge region o f test piece 1 is presented in Figure 5.11.

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Figure 5.17: magnified view of the mesh used within the CFD model.

5.2.2 Import o f the m odel into FLUENTThe follow ing section outlines the settings applied within the FLUENT software prior to the m odels being solved. Firstly each mesh was read into FLUENT and checked to ensure the quality o f the domain. The mesh was then adjusted using FLUENT’s smooth and swap function, which can be used to improve the quality o f an imported mesh. The solver settings applied to each model were selected based on best current practice. The solver settings used in this research were the segregated implicit 2D solver. The viscous model applied was initially the k-e for boundary layer analysis and later the RNG k-e for the analysis o f the region o f separation. The k-e model was initially selected based on the fact that it is robust and m ost w idely validated currently available [53]. For these selected m odels the default constants within the FLUENT package were used. Standard wall- functions were used in all o f the FLUENT case files. The material specified for the study was air at ambient temperature (with a density o f 1.225kg/m 3 and viscosity o f 1.7894 x 10"5kg/ms. The boundary types applied to the model (within Gambit) were a ‘V elocity Inlet’ at the inflow side and a ‘Pressure Outlet’ at the outlet side, using this then the

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boundary condition to the velocity inlet was set, using the velocity readings taken from the experimental stages The ‘Operating Pressure’ was also altered to take account o f the heighten state o f pressure which had been seen to occur within the experimental analysis, this was assigned a value o f 68 58Pa The turbulence values at the inlet were set to 10% for turbulence intensity and lm for turbulence length The solution control settings included the use o f a standard discretisation scheme for pressure and second order upwind for momentum and turbulence, together with the use o f the ‘SIMPLE’ pressure- velocity coupling The under-relaxation values used are detailed m Table 5 3

Table 5 3 Under-relaxation factors used in the Fluent case fileUnder-Relaxation FactorsPressure 0 3N/m2Density lK g/m 3Body Forces INMomentum 0 7Kg m/sTurbulence Kinetic Energy 0 8JTurbulence Dissipation Rate 0 8J/sTurbulent V iscosity 1 kg/ms

Initialisation controls and monitoring o f the residuals was used to check progression o f the models It had been noted in correspondence with several CFD experts in FLUENT headquarters that an actual convergence o f the solution was not overly necessary but a converging o f the residuals did need to be observed withm the solution in order for the results to be considered valid and this was the current best practice An example o f a residual plot obtained from a typical run o f the model is presented m Figure 5 12

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5.2.3 Boundary Layer Developm ent Profiles - Part 1Once the model was solved within the CFD software the velocity profile o f the airflow at the three axial locations (as detailed earlier in this chapter and fully in Chapter 4, Section4.11) could be examined. This analysis produced three graphs (Figure 5.13-5.15) showing the velocity distribution at each o f the three axial locations (x = 0.125m , 0.25m and 0.375m ) for the first test piece (length = 0.5m ), which could be compared directly with those results obtained from the experimental work. The level o f agreement between the CFD data produced and the recorded experimental data can also be highlighted at this point. So the experimental data has been plotted alongside the CFD in these graphs (Figures 5.13-5.15). In general the CFD data follow s the experimental results quite w ell however a com m on difference within the results occurs in the region o f the outer edges o f the boundary layer. The CFD has consistently underestimated this point when compared to the experimental data. This may be due to the turbulence model used or perhaps indicates that the mesh density should be increased in the region close to the plate surface.

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1st Axial Location

0.00 2.00 4.00 6.00 8.00 10.00 12.00 14.00

Velocity of airflow (m/s)

Velocity profile from CFD ■ Velocity profile from experimental data

Figure 5.19: Velocity profile for Test piece 1 at the 1st axial location.

2nd Axial Location

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------ Velocity profile from CFD ■ Velocity profile from experimental data

Figure 5.20: Velocity profile for Test piece 1 at the 2nd axial location.

* 0 0 6 O ^ n n r

3rd Axial Location

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velocity of airflow (m/s)

-------Velocity profile from CFD ■ Velocity profile from experimental data

Figure 5.21: Velocity profile for Test piece 1 at the 3rd axial location.

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Again the most important point taken from each o f these plots was where the velocity o f the airflow reached 99% o f the mainstream velocity and this was used to calculate the boundary layer development across the whole o f the test piece, as shown in Figure 5 16 The boundary layer development across the 2nd and 3rd test pieces are also plotted on this graph (Figure 5 16) The CFD velocity data used to create these profiles has been tabulated m Appendix F If can be seen from Figure 5 16 that there is a good degree o f comparison between the results obtained for the boundary layer development obtained for the However the 1st test piece has shown a significant difference in its development when compared to these The initial outer edge o f the boundary layer has been shown to be much thicker than for the 2nd and 3rd test pieces The reason for this may also be a direct result o f the turbulence model used, which is unable to accurately display what is happening with this highly disturbed airflow across test piece 1

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Boundary Layer Development from CFD Analysis

x/d (axial distance from leading edge)

— test piece 1 — test piece 2 test piece 3

Figure 5.22: Developing boundary layer profiles as obtained from the CFD software.

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Flow contour plots o f velocity magnitude across the first flat plate (length = 0.5m ) are presented in Figure 5.17. Analysis o f these contour plots indicates that there was a significant region o f flow separation close to the leading edge o f the plate. This w as also highlighted in the experimental stages when the leading edge region was analysed in a more in-depth manner.

Areas of Magnification

Units: m/s

FLUENT6.1(2d,segregatedrngke)

Figure 5.23: Contours o f velocity magnitude (m/s) for test piece 1 (length = 0.5m) at differentmagnifications.

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A velocity vector plot o f the leading edge region o f the first test piece (length = 0.5m ) is also presented in Figure 5.18. This plot displays the velocity vectors acting at each point in the flow field, which are coloured by velocity magnitude (m /s), this is also a m agnified view o f the area o f interest and within this plot various aspects o f the developing flow field are highlighted. Such areas include the separation point, a region o f highly swirling flow and the point reattachment o f the flow with the upper surface o f the test piece. The developing boundary layer across the rest o f the plate was seen to be extremely uniform, w hich is evident from the second contour plot in Figure 5.17. A long the surface o f the test piece the velocity is zero, this steadily increases as one m oves away from this surface. In this research the boundary layer was assumed to start at the point where v = 99%V, as one m oves out perpendicularly from the surface o f the body.

Magnified area showing re­attachment point

Leading 60ge

1.49e+01

Units: m /s

Separation point

*

Figure 5.24: Velocity vector plot o f leading edge region o f test piece 1 (length = 0.5m) showing separation and reattachment points and region o f flow separation.

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It can be seen from the graph (Figure 5.16) o f the developing boundary layer profiles across test pieces 1, 2 and 3 that a similar trait occurred across each test piece, the initial sharp rise o f the boundary layer in the early stage o f the flow over the surface and then a subsequent reduction o f the boundary layer. This evidence, along with the graphical images produced by the CFD postprocessor, strongly suggest how the leading edge region o f the test piece is an area o f increased activity o f the airflow as was also seen in the experimental stages. The flow was clearly seen to separate from the surface o f the test piece (Figure 5.18) at the first point o f contact with the test piece, x/d = 0. However the exact point o f re-attachment o f the flow with the surface o f the test piece is less clear so this was investigated further. U sing the FLUENT software a graph was plotted showing the developing velocity profile across the upper surface o f the test piece and this is presented in Figure 5.19. From this graph it was shown that the point o f reattachment o f the flow was found to occur at x = 0.325m from the entry to the test section (0.075m from leading edge o f test piece), which is equivalent to a re-attachment point o f x/d = 4.166.

upper-surface I

Magnitude(m/s)

Position (m)

Figure 5.25: Plots the developm ent o f the velocity magnitude across the upper surface o f test piece 1 indicating the point o f reattachment when the velocity o f the airflow goes to zero.

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5.2.4 Boundary Layer Developm ent Profiles - Part 2The Boundary Layer development results for Test Pieces 2 and 3 are presented in the follow ing section.Test Piece 2

1 48e+01

1 41e+01

1 33e+01

1 26e+01

1 19e+01

1 11e+01

1 04o+01

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8 15e+00

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5 19e+00

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Velocity Vectors Colored By Velocity Magnitude (m/s)

Jun 27. 2006 FLUENT 6.1 (2d. segregated, rngke)

Jun 27. 2006 FLUENT 6.1 (2d. segregated, rngke)

1 49e+0l 1 41o+01

1 340+01 1 27e+01 1 19e+01 1 12e+01 1 04e+01 9 710+00 8970+00

8 230+007 500+00 6 760+00 6 020+00 5.280+00 4 540+00 3 800+00 3.060+00

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Contours of Velocity Magnitude (m/s)

Figure 5.26: Contour and Velocity vector plot o f test piece 2 from FLUENT.

The follow ing three graphs, Figures F2 to F4, show the velocity distribution at each the three axial locations (x = 0.25m , 0.5m and 0.75m ) for the second test piece (length = lm ) when subjected to an airflow o f 10.64m/s.

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© 0.06 COÓ- 0.05 1 E I£ 0.04I E 0.03 -•I 0.02

1st Axial location

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Velocity profile from CFD

Figure 5.27: Velocity profile for Test piece 2 at the 1st axial location.2nd Axial Location

Velocity of airflow (m/s)

Velocity profile from CFD

Figure 5.28: Velocity profile for Test piece 2 at the 2nd axial location.3rd axial Location

oc 'E

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2 0.03a- 0.02

0.01 00.00 2.00 4.00 6.00 8.00 10.00

velocity of Airflow (m/s)12.00 14.00

Velocity profile from CFD

Figure 5.29:Velocity profile for Test piece 2 at the 3rd axial location.

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Test Piece 31 45e+0l 1 38e+01 1.31e+01 1 24e+01 1 16e+0l 1 09e+0l1 02e+01 9 45e+00 8 73e+00 8 OOe+OO 7 276+00 6 55e+00 5 82e+00 5 09e+00 4 36e+00 3.64e+002 91e+00 2 18e+00 1 45e+00 7.27e-01 0 00e+00

1

Contours of Velocity Magnitude (m/s) Jun 27. 2006FLUENT 6.1 (2d. segregated, ske)

1 46©+01 1 39e+01 1 31e+01 1 24e+01 1 17e+01 1 09e+011 02e+01 9 50e+00 8 77e+00 8 05e+00 7 32e+006 59e+00 5 87e+005 14e+00 4 42e+00 3 69e+002 96e+00 2 24e+00 1 51e+007 86e-016 04e-02

Velocity Vectors Colored By Velocity Magnitude (m/s) Jun 27. 2006 FLUENT 6.1 (2d. segregated, ske)

Figure 5.30: Contour and Velocity vector plot o f test piece 2 from FLUENT.

The follow ing three graphs, Figures F6 to F8, show the velocity distribution at each the three axial locations (x = 0.375m , 0.75m and 1.125m) for the third test piece (length = 1.5m) when subjected to an airflow o f 10.64m/s.

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1st Axial Location

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Velocity of airflow (m/s)

I I!.000 14.000

----- Velocity profile from CFD

Figure 5.31: Velocity profile for Test piece 3 at the 1st axial location.

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2nd Axial Location

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Velocity of airflow

- - - Velocity profile from CFD

Figure 5.32: Velocity profile for Test piece 3 at the 2nd axial location.

C n

3rd Axial Location

C U.UOp**- U.UO a>o ^ n c\ac gz U.U*t (0 '—■w U.UO

^ n 0 9_ a u.uzn■| 0.01

5 0 I T 10.000 2.000 4.000 6.000 8.000 10.000 12.000 14.000

Velocity of airflow (m/s)

-------Velocity profile from CFD

Figure 5.33: Velocity profile for Test piece 3 at the 3rd axial location.

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5 3 COMPARISON OF RESULTS

5 3 1 Boundary Layer DevelopmentThis section will look further at the two sets of results, those from the experimental analysis and those from the CFD analysis

• The developing boundary layers across the three tests pieces have been incorporated into a smgle graph for ease of analysis as shown in Figure 5 18 These results do not take account of the separation and re-attachment of the flow, which will be looked at m the next section, and assume the boundary layer development starts at the leading edge of each of the test pieces There are immediate differences m the results in terms of the velocity magnitudes which have been recorded by the two methods That is the CFD results displayed a much more stable boundary layer development across each of the 3 test pieces Looking closer at the results for test piece 3, for example, m Figure 5 18, it was recorded by the CFD that the boundary layer development reached a maximum point of approximately 0 015m above the surface of the plate at x/d = 20 83, which was the first axial location (as described m Table 5 2), from the leading edge and then stabilised at approximately 0 008m from then on Whereas from the expenmental results the boundary layer was seen to climb to approximately 0 041m above the plate at the same axial location, following which it steadily declined to approximately 0 0325

• Despite this variation of the results from the point of view of the velocity magnitude it must be noted how similar the developing boundary layers are m structure, as in each of the 3 cases there can clearly be seen an initial sharp rise in the boundary layer development followed by a reduction in its thickness and ultimately a stabilising of the boundary layer at this thickness This is the trait of a relaxing turbulent boundary layer

1 0 2

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Boundary Layer Development

x/d (axial distance from leading edge)

• B.L profile over test piece1 - exp.

▲ B.L profile over test piece2 - exp

■ B.L profile over test piece3 - exp

B.L profile over test piece1 - CFD

B.L profile over test piece2 -CFD

B.L profile over test piece3 -CFD

F igu re 5 .34: C o m p a r iso n o f b o u n d a ry la y e r d ev e lo p m en ts from ex p er im e n ta l an d C F D resu lts ..

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5 3 2 Separation and Re-attachment of the flowThe area of each of the test pieces close to the leading edge was highlighted as being a major area of activity of the airflow over the body from both the experimental and the CFD methods of analysis Within this area the flow was seen to separate from the surface and to re-attach further upstream

• From both forms of analysis the point of separation of the fluid flow was defined as the leading edge of the test piece, x/d = 0 For the experimental data this is presented in Figure 5 9, and was also shown for the CFD simulations in the velocity vector plot shown in Figure 5 16

• From the experimental analysis the point of re-attachment of the flow was found to be approximately 0 08m from the leading edge of the test piece which equates to a distance of x/d = 4 444 and from the CFD analysis the point of re-attachment was measured at x/d = 4 166 This means an error m the CFD prediction of the point of re-attachment of the flow of approximately 6 27% - 7 07% when compared to the expenmental results achieved in this study This is due to the presence of a 13% variation amongst the expenmental readings dunng the calibration of the wind tunnel

• Both these results can be compared to the value of xr/d = 4 68 as recorded Sam et al [36] (Chapter 2, Section 2 6), meaning therefore the expenmental results from this study differ from those in literature by just 5 4% and the CFD results by 12 3%

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CHAPTER 6. CONCLUSIONS AND FUTURE WORK6 1 CONCLUSIONSThe conclusions that have arisen from this research are

• A fully operational air flow facility (a wind tunnel) has been designed and built as part of the current work This was a fundamental requirement of the research The facility provided a flow of air through the test section which can be varied from approximately lOm/s (36km/hr) to approximately 30m/s (108km/hr)

• The developed wind tunnel facility has been successfully implemented in the analysis of boundary layer development across a number of test pieces

• The research has also incorporated the use of Computational Fluid Dynamics (CFD) Through its use, models of the test pieces were created and simulations of the experimental tests were conducted The results of the two forms of analysis compared well with the CFD simulations slightly under-predicting the results for the thickness of the developing boundary layer when compared to those achieved from the experimental analysis

• A most notable comparison between the two forms of analysis of the boundary layer development was with the prediction of the pomt of reattachment of the boundary layer with the surface of the test piece, which was predicted by the CFD to occur at x/d = 4 166 and was calculated as x/d = 4 444 from the experimental analysis

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6.2 FUTURE WORKA number of observations were made during the analysis of the results obtained from the experimental ng and the CFD models that would be useful in future analysis of the problem of airflow over a body and the development of a boundary layer Future work in the field should include the following areas of investigation

• A more detailed analysis of the developing boundary layer through the use of three dimensional models within m the CFD software

• Investigation into the effect of the addition of different types of grooves,for example transverse square grooves, to the surface of the test pieces on the characteristics of boundary layer development

• Investigation into the possibility of reducing the effects of drag across thesurface of a body through a roughening of the surface of the bodies, for example by sandblasting the surface

• Investigation into the effect of increased airflow velocities on the variousaspects of boundary layer development

• Investigation of the effects of the current test pieces on boundary layerdevelopment through the use of flow visualisation techniques

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6 3 PUBLICATIONS AND PRESENTATIONS

The work completed m the course of this study was accepted for presentation at the Fourth International Conference on Computational Fluid Dynamics (ICCFD4), which was held in Ghent, Belgium from July 10th to 14th 2006

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APPENDICES

Appendix AThe CAD drawings of the wind tunnel rig components fully assembled Page A1

Appendix BDetails of the axial fan used in the construction of the wind tunnel rig Page A2

Appendix CThe CAD drawings of the support frame which was designed and built in the School of Mechanical and Manufacturing Engineering in DCU Pages A3 - A9

Appendix DThe CAD drawings of the Pitot tube / Micrometer instrumentation device which was designed and built in the School of Mechanical and Manufacturing Engineenng m DCU Pages A10-A14

Appendix £All expenmental dimensional and non-dimensional data for the developing velocity profiles across test pieces 1, 2 and 3 Pages A15 - A 17

Appendix FAll CFD dimensional data for the developing velocity profiles across test pieces 1, 2 and 3 Pages A18

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- 2 0 0 00

3 0 0 0 0

D u b l i n C i t y U n i v e r s i t y - S c h o o l o f M e c h a n i c a l & M a n u f a c t u r i n g E n g

P a r t N o n / a N a m e E u g e n e O R e i l l y

S c a l e 1 1 1 5 0 8 2 0 0 4

M a t e r i a l n / a T i t l eF u l l y A s s e m b 1 e d W i n d T u n n e lA l l d i m e n s i o n s a r e

i n m i l l i m e t e r s

Appendix A

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Appendix B

Product Code Nominal Speed (RPMJ 0 25 50

Duty mVsec @ Pa 75 100 125 150 175 200 250

input Power (kW)

ZAC 710 43 1 350 6 81 6 69 6 53 6 36 6 18 C 99 5 77 5 51 5 23 4 49 29

2AC 710 63 890 4 71 4 44 4 11 3 73 3 29 0 89

ZAC 800 63 6 40 b 10 5 75 5 34 t 86 4 10 1 4

ZAC 800 83 680 4 87 4 40 ? 86 0 72

ZAC 1000 63 935 13 89 n b. 11 n 13 03 1? 71 12 33 119* 11 42 10 90 S5

ZAC 1000 83 670 9 60 9 20 8 72 8 23 7 62 6 72 22

FIC SC dBA Max Ambient Weight Control Options Dimensions (mm)

(A) {A} O 3m Temp 1 C) (Kg) DOL Elec Trans A B C D £ F G

4 9 23 70 65 45 STDT 6 H iftD 7E 785 ■»11 1 5 751 2C0 16 k Zi 6 1C

8 64 b2 tQ 34 S7DT16 PTRD 2LG 785 / I I 11 S 76! 260 16 x 22 5 10

27 9 8 62 60 39 S TDTIf HIRO ¿E 875 "*97 115 83? ?80 24 x !5 10

1 8 5 5 55 65 39 S1DT1S RTRD JE6 875 797 115 837 280 24 x 15 10

10» 67 78 60 92 STD116 1080 1001 1 i 5 1043 330 ^ x 15 5

42 13 66 70 66 STD116 RTRD 5 ?£G 1080 1001 11 5 1043 330 * * x 15 5

F igu re B1 D eta ils o f the Z A C 710-43 axial fan used in the con stru ction o f th e w in d tunnel facility

A2

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u 2 5

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0 i 2b

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D u b l i n C i 1 v U n i vf e r s i “ y S . h c o l O f M e c h o n ic o 1 I M o r i f c K luring E * q

P o r t N o f N o m e E u q e n e 3 P e i M )

^ c o i e I I D a t e 1 4 i 0 2 0 f t 1

M a t e r i a 1 2 5 mm & 5 0 m n S i e e i 0 r * S ^ c t ’ o n

T i t l eC o n I r a c ; * o n S e M ~ r S u p o o r t {■ r a m eO f Y i

iA l l d i me .i s i o n s a r e i n me f e r s !

Appendix C

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h 50

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AM di mens i ons are in m c t e r s

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D u b l i n C i t y U n i v e r s i t y S c h o o l O f M e c h a n i c a l & M a n u f a c t u r i n g E n g

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S c a l e 1 1 D a t e 1 4 1 2 2 0 0 4

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Dub 1 i n C i t y Un i v e r 5 1 t y S c h o o l o f M e c h a n i c a l & M a n u f a c t u r i n g Eng

Pa r t Name E u g e n e 0 R e i l l y

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i n m 1 1 1 1 me t e r s

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All

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— T a p p e d f o r M 3

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D u b l i n C i t y U n i v e r s i t y S c h o o l o f M e c h a n i c a l & M a n u f a c t u r i n g E n g .

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M a t e r i a l : A l u m i n i u m T i t l e :

M i c r o m e t e r C o l l a rO t y : 1

A l l d i m e n s i o n s a r e i n m i l l i m e t e r s

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Appendix £Test Piece 1

Dimensional Data Non-dimensional datam/s) y(m) u/U y/511 75089 0 0535 1 104407 2 97222211 75089 0 0485 1 104407 2 69444411 75089 0 0435 1 104407 2 41666711 68615 0 0385 1 098322 213888911 68615 0 0335 1 098322 1 86111111 68615 0 0285 1 098322 1 58333311 42351 0 0235 1 073638 1 30555611 42351 0 0225 1 073638 1 2511 3569 0 0215 1 067378 1 194444

11 28989 0 0205 1 06108 1 13888911 22249 0 0195 1 054745 1 08333311 15468 0 0185 1 048372 1 02777811 08646 0 0175 1 04196 0 97222211 05219 0 0165 1 038739 0 91666711 01781 0 0155 1 035508 086111110 98332 0 0145 1 032267 0 80555610 94873 0 0135 1 029016 0 7510 87921 0 0125 1 022483 0 69444410 80925 00115 1 015907 0 63888910 73883 0 0105 1 009289 0 58333310 66795 0 0095 1 002627 0 52777810 66795 0 0085 1 002627 0 47222210 59659 0 008 0 99592 0 44444410 59659 0 0075 0 99592 0 41666710 56073 0 007 0 99255 0 38888910 52475 0 0065 0 989168 036111110 48864 0 006 0 985775 0 33333310 45241 0 0055 0 982369 0 30555610 45241 0 005 0 982369 0 27777810 37957 0 0045 0 975524 0 2510 30622 0 004 0 968629 0 22222210 30622 0 0035 0 968629 0194444

0 0 0 0

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Test Piece 2Dimensional Data Non-dimensional data

u(m/s) y(m) u/U y/ Ô11 75089 0 0535 1 104407 2 97222211 75089 0 0485 1 104407 2 69444411 75089 0 0435 1 104407 2 41666711 75089 0 0385 1 104407 213888911 71857 0 0335 1 101369 1 86111111 62105 0 0285 1 092204 1 58333311 45667 0 0235 1 076754 1 30555611 28989 0 0225 1 06108 1 2511 22249 0 0215 1 054745 1 19444411 05219 0 0205 1 038739 1 13888911 01781 0 0195 1 035508 1 08333310 94873 0 0185 1 029016 1 02777810 87921 0 0175 1 022483 0 97222210 84429 0 0165 1 0192 0 91666710 80925 0 0155 1 015907 086111110 80925 0 0145 1 015907 0 805556

10 7741 0 0135 1 012603 0 7510 73883 0 0125 1 009289 0 69444410 70345 00115 1 005963 0 63888910 66795 0 0105 1 002627 0 58333310 59659 0 0095 0 99592 0 52777810 56073 0 0085 0 99255 0 47222210 56073 0 008 0 99255 0 44444410 52475 0 0075 0 989168 0 41666710 52475 0 007 0 989168 0 38888910 48864 0 0065 0 985775 036111110 45241 0 006 0 982369 0 33333310 41605 0 0055 0 978953 0 30555610 37957 0 005 0 975524 0 27777810 30622 0 0045 0 968629 0 2510 30622 0 004 0 968629 0 22222210 23234 0 0035 0 961686 0194444

0 0 0 0

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Test Piece 3Dimensional Data

u(m/s) y(m)11 75089 0 053511 75089 0 048511 75089 0 043511 68615 0 038511 58836 0 033511 15468 0 028511 08646 0 023511 05219 0 022511 05219 0 021511 01781 0 020510 98332 0 019510 94873 0 018510 94873 0 017510 91403 0 016510 91403 0 015510 91403 0 014510 87921 0 013510 84429 0 012510 80925 0011510 80925 0 010510 73883 0 009510 73883 0 008510 73883 0 00810 66795 0 007510 66795 0 00710 59659 0 006510 59659 0 00610 56073 0 005510 56073 0 00510 52475 0 004510 48864 0 00410 45241 0 0035

0 0

Non-dimensional datau/U y/ 51 104407 2 9722221 104407 2 6944441 104407 2 4166671 098322 21388891 089131 1 8611111 048372 1 5833331 04196 1 305556

1 038739 1 251 038739 1 1944441 035508 1 1388891 032267 1 0833331 029016 1 0277781 029016 0 9722221 025755 0 9166671 025755 08611111 025755 0 8055561 022483 0 75

1 0192 0 6944441 015907 0 6388891 015907 0 5833331 009289 0 5277781 009289 0 4722221 009289 0 4444441 002627 0 4166671 002627 0 3888890 99592 03611110 99592 0 3333330 99255 0 3055560 99255 0 277778

0 989168 0 250 985775 0 2222220 982369 0194444

0 0

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Appendix FDimensional Data from CFD

Test Piece 1 Test Piece 2 Test Piece 3u(m/s) y(m) u(m/s) y(m) u(m/s) y(m)

0 00 0 0 00 0 0 00 06 40 0 001 7 75 0 001 7 38 0 0017 35 0 002 8 87 0 002 8 55 0 0027 80 0 003 9 43 0 003 9 23 0 0038 20 0 004 9 80 0 004 9 73 0 0048 60 0 005 10 09 0 005 10 10 0 0059 00 0 006 10 32 0 006 10 40 0 0069 40 0 007 10 51 0 007 10 65 0 0079 85 0 008 10 68 0 008 10 85 0 008

10 25 0 009 10 83 0 009 11 02 0 00910 60 0 01 10 97 0 01 11 15 0 0111 01 0 011 11 09 0011 11 26 001111 25 0 012 11 21 0 012 11 34 0 01211 31 0013 11 32 0 013 11 41 0 01311 33 0 014 11 41 0 014 11 47 0 01411 35 0015 11 47 0 015 11 52 0 01511 36 0 016 11 49 0 016 11 54 0 01611 37 0 017 11 49 0 017 11 54 0 01711 38 0 018 11 49 0 018 11 55 0 01811 39 0 019 11 49 0 019 11 57 0 01911 40 0 02 11 50 0 02 11 57 0 0211 46 0 025 11 51 0 025 11 58 0 02511 52 0 03 11 53 0 03 11 59 0 0311 56 0 035 11 55 0 035 11 59 0 03511 59 0 04 11 56 0 04 11 59 0 0411 59 0 045 11 58 0 045 11 59 0 04511 59 0 05 11 59 0 05 11 59 0 05

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