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A Mach-uniform pressure correction algorithm

Department of Flow, Heat and Combustion Mechanics. A Mach-uniform pressure correction algorithm. Krista Nerinckx, J. Vierendeels and E. Dick Dept. of Flow, Heat and Combustion Mechanics GHENT UNIVERSITY Belgium. Department of Flow, Heat and Combustion Mechanics. Introduction.

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A Mach-uniform pressure correction algorithm

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  1. Department of Flow, Heat and Combustion Mechanics A Mach-uniform pressure correction algorithm Krista Nerinckx, J. Vierendeels and E. Dick Dept. of Flow, Heat and Combustion Mechanics GHENT UNIVERSITY Belgium

  2. Department of Flow, Heat and Combustion Mechanics Introduction Mach-uniform algorithm • Mach-uniform accuracy • Mach-uniform efficiency • For any level of Mach number • Segregated algorithm: pressure-correction method

  3. Department of Flow, Heat and Combustion Mechanics Mach-uniform accuracy • Discretization • Finite Volume Method (conservative) • Flux: AUSM+ • OK for high speed flow • Low speed flow: scaling + pressure-velocity coupling

  4. Department of Flow, Heat and Combustion Mechanics Mach-uniform efficiency • Convergence rate • Low Mach: stiffness problem • Highly disparate values of u and c • Acoustic CFL-limit: breakdown of convergence

  5. Department of Flow, Heat and Combustion Mechanics Mach-uniform efficiency • Remedy stiffness problem: • Remove acoustic CFL-limit • Treat acoustic information implicitly ?Which terms contain acoustic information ?

  6. Department of Flow, Heat and Combustion Mechanics Mach-uniform efficiency • Acoustic terms ? • Consider Euler equations (1D, conservative) :

  7. Department of Flow, Heat and Combustion Mechanics Mach-uniform efficiency • Expand to variables p, u, T • Introduce fluid properties : r=r(p,T) e=e(T) or re=re(p,T)

  8. Department of Flow, Heat and Combustion Mechanics Mach-uniform efficiency • Construct equation for pressure and for temperature from equations 1 and 3: quasi-linear system in p, u, T c: speed of sound (general fluid) with

  9. Department of Flow, Heat and Combustion Mechanics Mach-uniform efficiency • Identify acoustic terms:

  10. Department of Flow, Heat and Combustion Mechanics Mach-uniform efficiency • Go back to conservative equations to see where these terms come from: momentum eq.

  11. continuity eq. Department of Flow, Heat and Combustion Mechanics Mach-uniform efficiency write as energy eq.

  12. Department of Flow, Heat and Combustion Mechanics Mach-uniform efficiency • Special cases: - constant density: r=cte 0 energy eq. contains no acoustic information continuity eq.determines pressure

  13. Department of Flow, Heat and Combustion Mechanics Mach-uniform efficiency - perfect gas: 0 continuity equation contains no acoustic information energy eq. determines pressure

  14. Department of Flow, Heat and Combustion Mechanics Mach-uniform efficiency - perfect gas, with heat conduction:  conductive terms in energy equation energy and continuity eq. together determine pressure and temperature  treat conductive terms implicitly to avoid diffusive time step limit

  15. Department of Flow, Heat and Combustion Mechanics Implementation • Successive steps: • Predictor (convective step): - continuity eq.:r*- momentum eq.:ru* • Corrector (acoustic / thermodynamic step):

  16. Department of Flow, Heat and Combustion Mechanics Implementation • Momentum eq. : • Continuity eq. : •  p’-T’ equation

  17. Department of Flow, Heat and Combustion Mechanics Implementation • energy eq. :  p’-T’ equation • coupled solution of the 2 p’-T’ equations • special case: perfect gas AND adiabatic energy eq. becomes p’-equation  no coupled solution needed

  18. Department of Flow, Heat and Combustion Mechanics Results • Test cases • (perfect gas) • Adiabatic flow p’-eq. based on the energy eq. (NOT continuity eq.)

  19. Department of Flow, Heat and Combustion Mechanics Results • Low speed: • Subsonic converging-diverging nozzle • Throat Mach number: 0.001 • Mach number and relative pressure: -4 -8 x 10 x 10 10 5 9.8 0 9.6 M 9.4 -5 DeltaP 9.2 -10 9 8.8 -15 0 20 40 60 80 100 0 20 40 60 80 100 x x

  20. Department of Flow, Heat and Combustion Mechanics Results 0 10 • No acoustic CFL-limit • Convergence plot: Cont, CFL=10 (+UR) -5 10 Cont, CFL=1 (+UR) Max(Residue) Energy, CFL=1 Energy, CFL=10 -10 10 -15 10 0 100 200 300 400 Number of time steps Essential to use the energy equation!

  21. Department of Flow, Heat and Combustion Mechanics Results • High speed: • Transonic converging-diverging nozzle • Normal shock • Mach number and pressure: 1.4 0.75 0.7 1.2 0.65 0.6 M p 1 0.55 0.5 0.8 0.45 0.6 0.4 0 20 40 60 80 100 0 20 40 60 80 100 x x

  22. Department of Flow, Heat and Combustion Mechanics • non-adiabatic flow • if p’-eq. based on the energy eq. explicit treatment of conductive terms diffusive time step limit: • if coupled solution of p’ and T’ from continuity and energy eq.  no diffusive time step limit Results

  23. Department of Flow, Heat and Combustion Mechanics Results 1D nozzle flow

  24. Department of Flow, Heat and Combustion Mechanics Results Thermal driven cavity • Ra = 103 • e = 0.6 • very low speed: Mmax=O(10-7) no acoustic CFL-limit allowed • diffusion >> convection in wall vicinity: very high DT  no diffusive Ne-limit allowed

  25. Department of Flow, Heat and Combustion Mechanics Results log

  26. Department of Flow, Heat and Combustion Mechanics Results Temperature distribution: Streamlines:

  27. Department of Flow, Heat and Combustion Mechanics Conclusions • Conclusions: • Pressure-correction algorithm with- Mach-uniform accuracy- Mach-uniform efficiency • Essential: convection (predictor) separated from acoustics/thermodynamics (corrector)- General case: coupled solution of energy and continuity eq. for p’-T’- Perfect gas, adiabatic: p’ from energy eq. • Results confirm the developed theory

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