04-panel methods(theory and method)

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  • Panel Methods: Theory and Method

    A Solution for Incompressible Potential Flow

  • Introduction Incompressible Potential Flow

    The viscous effects are small in the flowfield

    The speed of the flow must be low everywhere (M < 0.4)

    The flow must be irrotational

    Governing Equations Laplaces Equation

    Prandtl-Glauert Equation For higher subsonic Mach numbers with small disturbances to the

    freestream flow

    P-G equation can be converted to Laplaces equation by a transformation

    0)1( 2 =+ yyxxM

    0=+ yyxx

  • Introduction The advantages of Panel Method

    Flexibility Be capable of treating the range of geometries

    Economy Get results within a relative short time

    A Story about the creation of Panel Method A.M.O.Smith, The initial development of panel

    methods in Applied Computational Aerodynamics, P.A. Henne, ed., AIAA, Washington, 1990.

  • Outline Some Potential Theory

    Derivation of the Integral Equation for the Potential

    Classic Panel Method

    Program PANEL

    Subsonic Airfoil Aerodynamics

    Issues in the Problem formulation for 3D flow over aircraft

    Example applications of panel methods

    Using Panel Methods

    Advanced panel methods

  • Some Potential Theory

    Laplaces Equation

    Since the equation is linear, superposition of solutions can be used.

    02 =

    Solution to Governing Equations Field Method

    Singularity Method

  • Some Potential Theory

    What is singularities ?

    These are algebraic functions which satisfy Laplaces equation, and can be combined to construct flow-fields.

    The most familiar singularities are the point source, doublet and vortex

  • Review on the singularities Point source Vortex Doublet

  • Producing a streamline pattern using a uniform flow and a point source

    +

  • We could superimpose many sources and sinks to get nearly any flow pattern we desired.

  • What are the singularity methods ? The solution is found by distributing singularities of

    unknown strength over discretized portions of the surface: panels.

    The unknown strengths of the singularities is found by solving a linear set of algebraic equations to determine.

    The equation governing the flow-field is converted from a 3D problem throughout the field to a 2D problem for finding the potential on the surface.

  • Boundary Conditions Dirichlet Problem:

    on + k design problem Neuman Problem:

    / n on + k analysis problem

  • Some other key properties of potential flow theory If either or / n is zero everywhere on +

    k then = 0 at all interior points. cannot have a maximum or minimum at

    any interior point. Its maximum value can only occur on the surface

    boundary, and therefore the minimum pressure (and maximum velocity) occurs on the surface.

  • Derivation of the Integral Equation for the Potential

    Motivation To obtain an expression for the potential anywhere in the flowfield

    in terms of values on the surface bounding the flowfield.

    Gauss Divergence Theorem The relation between a volume integral and a surface integral

    dSdVdivR S

    nAA = dSgradgraddV

    R S

    n = )()( 22

  • The derivation

    Gauss Divergence Theorem

    +Laplaces equation

    The integral expression for the potential

  • The integral expression for the potential

    Comments on the integral expression The problem is to find the values of the unknown

    source and doublet strengths and for a specific geometry and given freestream, .

    The requirement to find the solution over the entire flowfield (a 3D problem) is replaced with the problem of finding the solution for the singularity distribution over a surface (a 2D problem).

    dSrnr

    pBS

    )]1(1[)( 41' =

  • More comments on the integral expressionAn integral equation to solve for the unknown surface

    singularity distributions instead of a partial differential equation.The problem is linear, allowing us to use superposition

    to construct solutions.We have the freedom to pick whether to represent the

    solution as a distribution of sources or doublets distributed over the surface.The theory can be extended to include other

    singularities.

  • The basic idea of panel method Approximating the surface by a series of line segments (2D) or

    panels (3D)

    Placing distributions of sources and vortices or doublets on each panel.

    Possible differences in approaches to the implementation

    various singularities

    various distributions of the singularity strength over each panel

    panel geometry

    Advantage No need to define a grid

    throughout the flowfield

  • The Classic Hess and Smith Method

    Starting with the 2D version and using a vortex singularity in place of the doublet singularity

    Where = tan-1(y/x)

    ' 14

    1 13 : ( ) [ ( )]BS

    D p dSr n r

    = w' 1

    4( ) ( )2 : ( ) [ ln ]

    2 2s

    q s sD p r ds = v

    Uniform onset flow

    cos sinV x V y + q is the 2D source strength This is a vortex singularity of strength

  • The idea of Approach Break up the surface into straight line segments

    Assume the source strength is constant over each line segment (panel) but has a different value for each panel

    The vortex strength is constant and equal over each panel.

    The potential equation become

    1

    ( )( cos sin ) [ ln ]2 2

    N

    j panel j

    q sV x y r dS == + +

  • Definition of Each Panel

    Nodes: ith and i+1th

    Inclination to the x axis: Normal and tangential unit vectors:

    jitjin iiiiii sincos,cossin +=+=Where:

    i

    iii

    i

    iii l

    xxl

    yy == ++ 11 cos,sin

  • Representation of Boundary Condition (1) The flow tangency condition

    The coordinates of the midpoint of control point

    2

    21

    1

    +

    +

    +=

    +=ii

    i

    iii

    yyy

    xxx

    The velocity components at the control point

    ),(,),( iiiiii yxvvyxuu ==

    Niieachforvuorvu

    iiii

    iiii

    ,,1,,0cossin0)cossin()(0==+

    =++=

    jijinV

  • Representation of Boundary Condition (2)

    The Kutta condition The flow must leave the trailing edge smoothly.

    Here we satisfy the Kutta condition approximately by equating velocity components tangential to the panels adjacent to the trailing edge on the upper and lower surface.

    The solution is extremely sensitive to the flow details at the trailing edge.

    Make sure that the last panels on the top and bottom are small and of equal length.

    tNt uu =1NtVtV = 1

  • Representation of Boundary Condition (3) The Kutta condition

    NtVtV = 1

    NNNN

    NNNN

    vuvuor

    vuvu

    sincossincos

    )sincos()()sincos()(

    1111

    1111

    +=+

    ++=++ jijijiji

    The boundary conditions derived above are used to construct a system of linear algebraic equations for the strengths of the sources and the vortex.

  • Steps to determine the solution1. Write down the velocities, ui, vi, in terms of contributions from all the

    singularities.

    includes qi, from each panel and the influence coefficients which are a function of the geometry only.

    2. Find the algebraic equations defining the influence coefficients.

    3. Write down flow tangency conditions in terms of the velocities (N eqns., N+1 unknowns).

    4. Write down the Kutta condition equation to get the N+1 equation.

    5. Solve the resulting linear algebraic system of equations for the qi, .6. Given qi, , write down the equations for uti, the tangential velocity

    at each panel control point.

    7. Determine the pressure distribution from Bernoullis equation using the tangential velocity on each panel.

  • Step 1. Velocities The velocity components at any point i are given by

    contributions from the velocities induced by the source and vortex distributions over each panel.

    = =

    = =

    ++=

    ++=N

    j

    N

    jvsji

    N

    j

    N

    jvsji

    ijij

    ijij

    vvqVv

    uuqVu

    1 1

    1 1

    sin

    cos

    where qi and are the singularity strengths, and the usij, vsij, uvij, and vvij are the influence coefficients.

    As an example, the influence coefficient usij is the x-component of velocity at xi due to a unit source distribution over the jth panel.

  • Step 2. Influence coefficientsLocal panel coordinate system The influence coefficients

    due to the sources:

    The influence coefficients due to the vortex distribution:

    2

    )ln(21

    *

    1,*

    ijS

    ij

    jis

    ij

    ij

    v

    rr

    u

    =

    = +

    )ln(212

    1,*

    *

    ij

    jiv

    ijv

    rr

    v

    u

    ij

    ij

    +=

    =

  • Step 3. Flow tangency conditions to get N equations

    Nivu iiii ,,1,0cossin ==+

    =

    + ==+N

    jiNijij NibAqA

    11, ,1

    where

  • Step 4. Kutta Condition to get equation N+1

    NNNN vuvu sincossincos 1111 +=+

    =

    ++++ =+N

    jNNNjjN bAqA

    111,1,1

    where

  • Step 5. Solve the system for qi,

    =

    + ==+N

    jiNijij NibAqA

    11, ,1

    =

    ++++ =+N

    jNNNjjN bAqA

    111,1,1

  • Step 6. Given qi, and , write down the equations for the tangential velocity at each panel control point.

  • Step 7. Find the surface pressure coefficient

    2)(1

    =Vu

    C ii

    tP

  • Summary of Classic Panel Method

    Key points1.Write down the velocities, ui, vi, in terms of

    contributions from all the singularities,namely qi, .2.Get N eqns using flow tangency conditions in

    terms of the velocities.

    3.Get the N+1 equation using the Kutta condition.

    4.Solve the resulting linear algebraic system of equations for the qi, .

    Panel Methods: Theory and MethodIntroductionIntroductionOutlineSome Potential TheorySome Potential TheoryDerivation of the Integral Equation for the PotentialThe Classic Hess and Smith MethodSummary of Classic Panel Method