the surface temperature prediction on steel -tool steel sliding...

6
DRO Deakin Research Online, Deakin University’s Research Repository Deakin University CRICOS Provider Code: 00113B The surface temperature prediction on steel-tool steel sliding pairs Citation of the final article: Okonkwo, Paul C., Kelly, Georgina, Khan, Mohd Shariq, Pereira, Michael P., Rolfe, Bernard F. and Islam, Md Saiful 2019, The surface temperature prediction on steel-tool steel sliding pairs, in ICMSAO 2019 : 8th International Conference on Modeling Simulation and Applied Optimization, IEEE, Piscataway, N.J., pp. 1-5. Published in its final form at https://doi.org/10.1109/ICMSAO.2019.8880313. This is the accepted manuscript. © 2019, IEEE Reprinted with permission. Downloaded from DRO: http://hdl.handle.net/10536/DRO/DU:30132563

Upload: others

Post on 09-Mar-2021

2 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: The surface temperature prediction on steel -tool steel sliding ...dro.deakin.edu.au/eserv/DU:30132563/kelly-surface...Default penalty friction formation in Abaqus Default Density

DRO Deakin Research Online, Deakin University’s Research Repository Deakin University CRICOS Provider Code: 00113B

The surface temperature prediction on steel-tool steel sliding pairs

Citation of the final article: Okonkwo, Paul C., Kelly, Georgina, Khan, Mohd Shariq, Pereira, Michael P., Rolfe, Bernard F. and Islam, Md Saiful 2019, The surface temperature prediction on steel-tool steel sliding pairs, in ICMSAO 2019 : 8th International Conference on Modeling Simulation and Applied Optimization, IEEE, Piscataway, N.J., pp. 1-5.

Published in its final form at https://doi.org/10.1109/ICMSAO.2019.8880313.

This is the accepted manuscript.

© 2019, IEEE

Reprinted with permission.

Downloaded from DRO: http://hdl.handle.net/10536/DRO/DU:30132563

Page 2: The surface temperature prediction on steel -tool steel sliding ...dro.deakin.edu.au/eserv/DU:30132563/kelly-surface...Default penalty friction formation in Abaqus Default Density

The surface temperature prediction on steel-tool

steel sliding pairs

Paul C. Okonkwo

Department of Mechanical &

mechantornics, College of Engineeirng

Dhofar University

Salalah, Oman

[email protected]

Bernard F. Rolfe

Mechanical Engineeirng Department,

School of Engineeirng

Deakin University

Waurn Ponds, 3216, Victoria, Australia

[email protected]

Michael P. Pereira

Mechanical Engineeirng Department,

School of Engineeirng

Deakin University

Waurn Ponds, 3216, Victoria, Australia

[email protected]

Georgina kelly

Institute for Frontier Materials (IFM).

Deakin University

Waurn Ponds, Victoria, Australia

[email protected]

Abstract—This study examines the theoretical and numerical

prediction of temperature at the sliding contact surfaces of steel-

steel pairs using the pin-on-disc and Archard models. The steel-

tool contact pair is important to the tribological and forming

community. The results show a good correlation between

numerical and theoretical calculation of contact temperature.

There was abrupt increase in the contact temperature at the

contacting surfaces as the sliding speed was increased beyond 35

mm/s. Localization of high peak temperature at the contact regions

of the sliding surfaces observed in this study may be important in

the wear mechanism of sliding bodies and wider manufacturing

community.

Keywords—Pin-on-disc, forming process, steel, temperature,

contact surfaces

I. INTRODUCTION

Flash temperature is the temperature that occurs at the

nanometre scale asperity during contact between sliding

bodies. Due to the magnitude of these flash temperatures,

compared to bulk and surface temperatures of the sliding

surfaces, the local mechanical properties of the interacting

materials can be affected [1]. The surface temperature is the

average of the flash temperature over the surface of the

sliding bodies. While flash temperature occurs at the

asperities of the contacting surfaces [2]. It is likely that the

magnitude of the flash temperature will be greater than that

of the surfaces temperature in any given tribological set up.

The generated temperature can cause or increase the severity

of wear mechanisms on the sliding surfaces and hence

influence the tribological behavior of the sliding surface

[3,4]. In sheet metal stamping, the sliding contact between

the sheet and the tool can result in high frictional heat

generation at the die radius-blank contact [5]. The generated

temperature may be influential in the increasing die

maintenance cost and scrap rate [4]. Understanding the

evolution of temperature in relation to the sliding surface

pairs may help in reducing tool wear in sheet metal

stamping.

Previous attempts have been made to use Finite Element

(FE) analyses to predict the moderate temperature increases

and relate it to the wear of tool steels used in sheet metal

forming [6-8]. The temperature rise on the die surface

experienced during a continuous strip drawing process of

aluminum sheet was examined by Groche et al. [6], using

FE analysis. It was predicted that a peak contact temperature

rise of 36°C occurred near the point of peak contact

pressure, corresponding to the location at which the

adhesive wear mechanism was found initiate. Recently,

Pereira et al. [5] predicted a temperature rise of up to 130°C

during ‘cold’ forming of advanced high strength steels,

which was attributed to the increased contact stresses and

increased plastic work associated with stamping higher

strength sheet materials.

The purpose of the present study is to simulate and predict

the surface temperature at the sliding contact of low carbon

steel against hardened D2 tool steel with a maximum

contact pressure of 1084 MPa. This contact pressure is

typical of the peak pressures experienced during sheet metal

forming operations using high strength sheet steel [9]. This

analysis will aid in understanding the temperature

distribution on the surfaces during the sliding contact

condition.

A. Numerical simulation setup

In this study, a 3D FE model was developed to simulate the

surface temperature generated as a result of frictional

heating during the pin-on-disc tests wear tests. The FE

model of the pin-on-disc test setup is shown in Figure 1.

(c)

(b)(a)

Pin radial surface

Half disc surface

Pin

disc

Figure 1: a) Full model showing pin in sliding contact with the

disc, b) the pin surface showing mesh refinement at the contact

surface, c) surface of the disc showing mesh refinement at the

region of contact between the disc and pin.

Page 3: The surface temperature prediction on steel -tool steel sliding ...dro.deakin.edu.au/eserv/DU:30132563/kelly-surface...Default penalty friction formation in Abaqus Default Density

A general-purpose non-linear implicit finite element

analysis code (ABAQUS/Standard Version 6.14-1 [10]) was

used to conduct the simulation. All pre- and post-processing

was carried out using ABAQUS/CAE.

1) Key parameters and properties

The details of the thermal and material properties of the pin

and the disc used in the simulation are shown in Table 1.

Table: 1. Thermal and material properties of the specimens

Thermal and material

properties

Disc

Ball

Material definition

Deformable-

solid

Deformable-

solid

Elastic modulus (MPa) 210000 210000

Poisson’s ratio (-)

0.3 0.3

Friction energy heat

dissipation factor, ηF (-)

Default Default

Density (kg.mm-3)

7.9x 10-6 7.9x 10-6

Thermal conductivity (mJ.s-

1.mm-1.ºC-1)

20 51.4

Expansion coefficient ( ºC-1) 12x10-6 12x10-6

Specific heat capacity (J.kg-

1.ºC-1)

4.5x102 4.5x102

The key parameters required to develop the coupled

thermal-stress solution are listed in Table 1. These

parameters were defined for both the pin and the disc based

on characteristics appropriate for steel. The friction energy

heat dissipation fraction, ηF, defines to the amount of work

from friction that is converted into heat which is distributed

to the disc-pin surfaces. Due to the short time scale

involved, the effects of convection and radiation were

assumed to be negligible and were not accounted for in the

model.

2) FE mesh and geometry

The FE mesh of the disc and pin were refined at the region

of the contact to allow detailed analysis of the contact

between the pin and disc surfaces (as shown in Figure 1).

Four-node, thermally coupled tetrahedron elements with

linear displacement and temperature (C3D4T) were selected

and used to mesh all parts of both the pin and the disc. Tie

constraints were used to merge together dissimilar regions

of the model, allowing mesh transition from fine mesh at the

contact surfaces to coarse mesh at other parts of the pin and

the disc. The length of the element sides at the contact

regions of the pin and the disc were approximately

0.002mm. The objective was to reduce the number of

elements at the non-contact regions of the model, thereby

reducing the computation time, whilst allowing sufficient

mesh density at the contact zones to allow the contact

pressure and temperature distributions at the pin-disc

interface to be accurately simulated. In the experimental

setup, the disc is harder than the pin material [11]; hence,

the disc surface was set as the master surface in each of the

contact interactions, while the pin was set as the slave.

3) Load and boundary conditions

Load of 5N was applied on the top of the pin typical of that

used in the experimental study resulting in maximum

contact pressure experienced during a typical stamping

process [12]. Angular velocities of 1.52rad/s, 4.45rad/s,

21rad/s and 31.76 rad/s which is equivalent to 12mm/s,

35mm/s, 170mm/s and 250mm/s sliding speed respectively

were applied at the last step of the model. Time steps of

41.08s, 14.14s, 2.99s and 2.02s for 12mm/s, 35mm/s,

170mm/s and 250mm/s were also applied at the last step to

give four revolutions each of the simulation tests. A

Coulomb friction model was used to represent the friction

between the blank and the tool surface using an isotropic

penalty friction formation in Abaqus [10]. The friction

coefficient applied (µ=0.50) was taken from the steady state

value obtained from the experimental pin-on-disc tests

conducted at ambient temperature [11].

The simulation process was divided into two steps: a contact

step; and then a rotating step. At the contact step, a normal

load was applied downwards through the ball to apply

contact loading between the disc and the pin. Then,

followed the rotation step where the disc was made to rotate

in the z- axis. The top of the pin and back of the disc were

set to zero to act as heat sink. The purpose was to allow any

heat dissipated from the top of the pin and the bottom of the

disc not to go back to the system. Temperature was queried

at different nodal on the pin from the contact to some

distance away from the contact with the disc as shown in

Figure 2. The objective was to investigate how the

temperature varies as it goes away from the contact. The

model is first validated and then the simulation results are

subsequently presented and discussed below.

a) Pin and disc reference nodal positions

The cross section of the pin and the disc show different

nodal positions as shown in table 2.

Table: 2. Pin and disc reference nodes down the contact

surfaces

Pin Id Number

Distance away from contact [mm]

Disc Id Number

Distance away from contact [mm]

P1 0.0 D1 0.0 P2 0.01 D2 0.01 P3 0.03 D3 0.02 P4 0.23 D4 0.03 P5 0.57 D5 0.05 P6 1.96 D6 0.08

Page 4: The surface temperature prediction on steel -tool steel sliding ...dro.deakin.edu.au/eserv/DU:30132563/kelly-surface...Default penalty friction formation in Abaqus Default Density

B. Theoretical calculations and FE model validation

The results from theoretical calculations of contact pressure

and surface temperature, using well-known Hertz [13]

developed models from the literature are presented. The

results from these calculations were used to help to develop

and validate the FE model developed.

1) Contact pressure validation.

The FE model was validated against a standard analytical

Hertz. The numerical calculation result of the Hertz contact

pressure using Hertz [13] developed models are shown in

Figures 2 and 3. During the FE model development process,

the static contact pressure distribution was compared to the

Hertzian contact pressure distribution in order to check the

accuracy of the contact model and choose an appropriate

mesh density at the contact zone. The result of the predicted

FE model at the end of the first step (where the pin in loaded

against the disc prior to sliding) is shown in Figure 2. As

shown, both models predict similar trends, but there are

some discrepancies at both edges away from the center of

contact. This is difference in sensitivity of the mesh relative

to the radius geometry. However, minimum number of

elements of about nine at the small contact zone of the

surface compared to 12 elements distributed at the other

areas of the sliding surface provides a good correlation of

the contact pressure at the contact region. Hence it can be

concluded that the FE model accurately captures the

theoretical results and can be used to validate the FE model

for further investigations.

-0.06 -0.04 -0.02 0.00 0.02 0.04 0.06

0

200

400

600

800

1000

1200

Hertz

FE

Con

tact

pre

ssur

e[M

Pa]

Radial distance[mm]

Figure 2: Hertz (black line) and FEA (red line).

2) Peak surface temperature

The results obtained from the simulation are presented and

compared with Archard’s theory for temperature of rubbing

surfaces to validate the sliding speeds selected for this study.

The sliding speeds were selected based on Archard’s theory

to give an equal surface temperature.

R² = 0.9854

0

10

20

30

40

50

60

70

0 50 100 150 200 250 300

Surf

ace

te

mp

era

ture

[°C

]

Sliding speed [mm/s]

simulation result

Archard's result

Figure 3: Results of the calculated idealised temperatures

and simulation tests at different sliding speeds.

In each of the simulations, only the speed was varied while

other parameters were kept constant. The simulation model

was investigated against the idealized case of directly

loading the pin at a contact load of 5N, while varying the

sliding speeds between 12mm/s, 35mm/s, 170mm/s and

250mm/s. Comparing the Archard’s model with the FE

results shows that a good correlation was found, R2=0.9854,

between the idealized case and the FEA simulation. Hence,

the result shows that there is a good fit between the

theoretical and FE results.

C. Results

Our validation shows that the FE model results correlate

well with theoretical calculations of contact pressure and

peak surface temperature. Hence, the validated FE model

can be used to investigate the temperature distribution at the

pin and disc surfaces.

1) Pin temperature distribution

Figure 4 shows the peak temperature of P1 at different

sliding speeds. The P1 nodal temperature, which is at

contact with the disc node D1 shows highest peak

temperature for the different sliding speed tests. The result

also shows that the peak temperature increases

approximately linear with the sliding speeds.

Figure 4: Peak temperature for pin node P1 versus sliding

speed.

Page 5: The surface temperature prediction on steel -tool steel sliding ...dro.deakin.edu.au/eserv/DU:30132563/kelly-surface...Default penalty friction formation in Abaqus Default Density

a) Temperature distribution along the pin surface

The contour plots result of the temperature distribution

along the surfaces of the pin for all the sliding speeds are

shown in Figure 8. The results show that temperature is

localised at the pin contact area with the disc and gradually

decreases as it goes away from the contact region. The

localisation of the peak temperature at the contact area on

the pin surface was observed for all the sliding speed tests.

Figure 5a shows the peak temperature rise of 2.2°C at the

contact area of the pin for the 12mm/s tests, followed by

temperature rise of 8.2°C for the 35mm/s tests. Temperature

rise of approximately 30°C and 36°C each were recorded for

the 170 and 250mm/s tests respectively (Figure 5c and 5d).

These peak contact nodal temperatures agree with the

contact nodal temperature observed down the pin surface

(Figure 4).

P2-1 P3-1 P4-1 P5-1P1-1

P5-1P4-1P3-1P2-1P1-1

(a) (b)

P5-1

P5-1P4-1P3-1P2-1P1-1

(c) (d)

P1-1 P4-1P3-1

P2-1

Figure 5: Simulation results of contour plots of 12mm/s,

35mm/s, 170mm/s and 250mm/s showing temperature

distribution along the surface of the pin.

2) Disc temperature distribution

The result of the nodal temperature measured at different

contact points on the disc to investigate the temperature

distribution on the disc surface are displayed in Figure 6.

Similarly, reference nodes were selected some distance

away from the pin-disc contact for different sliding speeds.

The peak temperature increases, almost linearly, with the

sliding speed. The result is in agreement with the similar

increase in the peak temperature observed for the pin

reference node P1 shown in Figure 4.

Figure 6: Peak temperature for Disc node D1 against sliding

speed

a) Temperature distribution along the disc surface

The contour plots of the temperature distribution along the

disc surface for all the four sliding speeds are shown in

Figure 7. The general result shows that the magnitude of

localised peak temperature at the contact area decreases as

the distance away from the contact region increases. Peak

temperatures of 4.2°C and 16.1°C were observed for

12mm/s and 35mm/s speed tests respectively. For the higher

sliding speed tests of 170mm/s and 250mm/s, 51.7°C and

61.7°C peak temperature rise were observed at the contact

region on the disc surface (Figure 7). Another observation

was that the peak temperatures at different speeds on the

disc surfaces (Figure 7) were generally higher than the peak

temperature rise observed on the pin surface (Figure 5). This

was attributed to the difference in the thermal conductivities

of the two sliding pairs (Table 1).

D1-1

D2-1

D3-1

D4-1

D5-1

D1-1

D2-1

D3-1

D4-1

D5-1

(a)(b)

D1-1

D2-1

D3-1

D4-1

D5-1

D1-1

D2-1

D3-1

D4-1

D5-1

(d)(c)

Figure 7: Simulation results of contour plots of 12mm/s,

35mm/s, 170mm/s and 250mm/s showing temperature

distribution along the surface of the disc.

Page 6: The surface temperature prediction on steel -tool steel sliding ...dro.deakin.edu.au/eserv/DU:30132563/kelly-surface...Default penalty friction formation in Abaqus Default Density

D. Discussion

The results show that the prediction of accurate surface

temperature could be made using either the Archard’s theory

[3] or the simulation method. Increase in the surface

temperature was observed as the sliding speed was

increased. It has been shown previously in the literature that

frictional heat is generated due to welding and plastic work

of the asperities [14]. In a high sliding speed process, the

generated heat does not have sufficient time to dissipate and

can cause a significant rise in temperature as observed in

this result. Figure 4 shows that the surface temperature at

the contact region of the sliding surface of the pin is

significantly higher than temperature at other regions on the

sliding surface. Similar increase in the contact surface

temperature compared to other region on the contacting

bodies have been reported by Ashby et al. [15] to be due to

flash temperature generated as a result of asperities

deformation. The result of temperatures at different nodes

on the disc also showed increasing surface temperature as

the sliding speed was increased (Figure 6). However, sliding

at lower sliding speed did not show significant difference

between the contact nodal surface temperature and those

from other points away from the disc contacting surface

(Figure 4).

Notably, at 170 mm/s and 250 mm/s, the temperatures at the

contact node of the disc are significantly higher than

temperatures on the other nodes, similar to that of the pin

(Figure 7c). It was found in the results (Figure 4 and 6), that

the surface temperature rises for the disc showed higher

temperature values for the contacting nodal temperature

compared to that of the pin nodal temperature. An

explanation to the above observation could be that in pin-

on-disc test, the heat flows into the sliding bodies.

Subsequently, the temperature distribution on the sliding

bodies is influenced by the partitioning factor and the

thermal conductivities of the material pair in sliding contact

as reported by Bowden and Tabor [16]. The above

observation is of practical value to wear mechanisms and

the manufacturing industry.

E. Conclusion

The study investigates two techniques of estimating surface

temperature. The results show that the well-known

behaviour that surface temperature increases as the sliding

speed is increased was observed for all tests, even at the

slowest sliding speeds (<20mm/s). There is a good

correlation between the theoretical and numerical

calculation of surface temperature. The result provides more

confidence in the predicted FE results. The magnitude of the

surface temperature predicted at the surface of the disc and

pin are significantly high at the contact region and increased

abruptly as the sliding speed was increased (˂35mm/s).

Considering the distribution of the temperature along and

below the sliding surfaces, it becomes clear that frictional

heating does not result in any significant bulk temperature

heating. The numerical models show that, at the higher

sliding speeds, the surface of the disc experiences over 10

times larger temperature rise compared to the material that

is just 0.01mm below the surface.

REFERENCES

1. M.F. Ashby, S.C. Lim, Wear- Mechanism Maps,

Scripta Metallurgica, 24, 805-810 (1989)

2. J.A. Greenwood, A.F. Alliston-Greiner, Surface

temperatures in a fretting contact, Wear, 155(2),

269-275 (1992)

3. J.F. Archard, The temperature of rubbing surfaces,

Wear, 2(6), 438-455 (1959)

4. A. Gåård, N. Hallbäck, P. Krakhmalev, J.

Bergström, Temperature effects on adhesive wear

in dry sliding contacts, Wear, 268, 968-975 (2010)

5. M.P. Pereira, P.C. Okonkwo, W. Yan, B.F. Rolfe,

Deformation and frictional heating in relation to

wear in sheet metal stamping Proc. 13th

International Conference of Metal Forming, 713-

716. (2010)

6. P. Groche, G. Nitzsche, A. Elsen, Adhesive wear in

deep drawing of aluminium sheets, Manufacturing

Technology, 57, 295-298 (2008)

7. H. Kim, S. Han, Q. Yan, T. Altan, Evaluation of

tool materials, coatings and lubricants in forming

galvanised advanced high strenght steels (AHSS),

Manufacturing Technology, 57, 299-304 (2008)

8. M.P. Pereira, P.C. Okonkwo, W. Yan, B.F. Rolfe,

Deformation and frictional heating in relation to

wear in sheet metal stamping, Steel Research

International: Special Edition Metal Forming

2010, 81, 713-716 (2010)

9. M.P. Pereira, W. Yan, B.F. Rolfe, Contact pressure

evolution and its relation to wear in sheet metal

forming, Wear, 265, 1687-1699 (2008)

10. A. Inc, ABAQUS Version 6.10 Documentation,,

Dassault Systemsed., 2004

11. P.C. Okonkwo, G. Kelly, B.F. Rolfe, M.P. Pereira,

The effect of sliding speed on the wear of steel–

tool steel pairs, Tribology International, 97, 218-

227 (2016)

12. M.P. Pereira, W. Yan, B.F. Rolfe, Contact pressure

evolution and its relation to wear in sheet metal

forming, Wear, 265(11-12), 1687-1699 (2008)

13. H. Hertz, Über die berührung fester elastischer

körper (on the contact of elastic solids) (English

translation in Miscellaneous Papers by Hertz, H. ),

J. Reine Angewandte Math, 94, 156–171 (1882)

14. C.C. Viáfara, A. Sinatora, Unlubricated sliding

friction and wear of steels: An evaluation of the

mechanism responsible for the T1 wear regime

transition, Wear, 271(9-10), 1689-1700 (2011)

15. M.F. Ashby, J. Abulawi, H.S. Kong, Temperature

Maps for Frictional Heating in Dry Sliding,

Tribology Transactions, 34(4), 577-587 (1991)

16. F.P. Bowden, D. Tabor, The friction and

Lubrication of solids, (1950)