A five-equation model for the simulation of miscible and viscous compressible fluids

Typical multispecies compressible Navier–Stokes computations employ conservative equations for mass fraction transport. Upwind discretisations of these governing equations produce spurious pressure oscillations at diffuse contact surfaces between gases of differing ratio of specific heat capacities...

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Veröffentlicht in:Journal of computational physics 2018-11, Vol.372, p.256-280
Hauptverfasser: Thornber, Ben, Groom, Michael, Youngs, David
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description Typical multispecies compressible Navier–Stokes computations employ conservative equations for mass fraction transport. Upwind discretisations of these governing equations produce spurious pressure oscillations at diffuse contact surfaces between gases of differing ratio of specific heat capacities which degrade the convergence rate of the algorithm. Adding quasi-conservative equations for volume fraction can solve this error, however this approach has been derived only for immiscible fluids. Here, a five-equation quasi-conservative model is proposed that includes the effects of species diffusion, viscosity and thermal conductivity. The derivation of the model is presented, along with a numerical method to solve the governing equations at second order accuracy in space and time. Formal convergence studies demonstrate the expected order of accuracy is achieved for three benchmark problems, cross-validated against two standard mass fraction models. In these test cases, the new model has between 2 and 10 times lower error for a given grid size. Simulations of a two-dimensional air-SF6 Richtmyer–Meshkov instability demonstrate that the new model converges to the solution with four times fewer points in each direction when compared to the mass fraction model in an identical numerical framework. This represents an ≈40 times lower computational cost for an equivalent error in two-dimensional computations. The proposed model is thus very suitable for Direct Numerical Simulation and Large Eddy Simulation of compressible mixing. •Derives a five equation model for compressible miscible fluids incorporating species diffusion.•The model advects contact surfaces between gases of differing ratios of specific heats without spurious pressure oscillations.•A stable and accurate discretization of the governing equations is presented and verified using several benchmark cases.•There is a substantial reduction in computational effort for a given error when compared to the standard mass fraction model•It is an extremely attractive formulation for resolved computations of compressible mixing.
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Upwind discretisations of these governing equations produce spurious pressure oscillations at diffuse contact surfaces between gases of differing ratio of specific heat capacities which degrade the convergence rate of the algorithm. Adding quasi-conservative equations for volume fraction can solve this error, however this approach has been derived only for immiscible fluids. Here, a five-equation quasi-conservative model is proposed that includes the effects of species diffusion, viscosity and thermal conductivity. The derivation of the model is presented, along with a numerical method to solve the governing equations at second order accuracy in space and time. Formal convergence studies demonstrate the expected order of accuracy is achieved for three benchmark problems, cross-validated against two standard mass fraction models. In these test cases, the new model has between 2 and 10 times lower error for a given grid size. Simulations of a two-dimensional air-SF6 Richtmyer–Meshkov instability demonstrate that the new model converges to the solution with four times fewer points in each direction when compared to the mass fraction model in an identical numerical framework. This represents an ≈40 times lower computational cost for an equivalent error in two-dimensional computations. The proposed model is thus very suitable for Direct Numerical Simulation and Large Eddy Simulation of compressible mixing. •Derives a five equation model for compressible miscible fluids incorporating species diffusion.•The model advects contact surfaces between gases of differing ratios of specific heats without spurious pressure oscillations.•A stable and accurate discretization of the governing equations is presented and verified using several benchmark cases.•There is a substantial reduction in computational effort for a given error when compared to the standard mass fraction model•It is an extremely attractive formulation for resolved computations of compressible mixing.</description><identifier>ISSN: 0021-9991</identifier><identifier>EISSN: 1090-2716</identifier><identifier>DOI: 10.1016/j.jcp.2018.06.028</identifier><language>eng</language><publisher>Cambridge: Elsevier Inc</publisher><subject>Accuracy ; Algorithms ; Compressible ; Compressible fluids ; Computational fluid dynamics ; Computational physics ; Computer simulation ; Contact pressure ; Convergence ; Diffuse interface ; Diffusion effects ; Direct numerical simulation ; Errors ; Heat conductivity ; Large eddy simulation ; Miscibility ; Miscible ; Mixing ; Multispecies ; Navier-Stokes equations ; Numerical methods ; Pressure oscillations ; Richtmeyer-Meshkov instability ; Species diffusion ; Thermal conductivity ; Two dimensional models ; Viscosity</subject><ispartof>Journal of computational physics, 2018-11, Vol.372, p.256-280</ispartof><rights>2018 Elsevier Inc.</rights><rights>Copyright Elsevier Science Ltd. 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Simulations of a two-dimensional air-SF6 Richtmyer–Meshkov instability demonstrate that the new model converges to the solution with four times fewer points in each direction when compared to the mass fraction model in an identical numerical framework. This represents an ≈40 times lower computational cost for an equivalent error in two-dimensional computations. 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Simulations of a two-dimensional air-SF6 Richtmyer–Meshkov instability demonstrate that the new model converges to the solution with four times fewer points in each direction when compared to the mass fraction model in an identical numerical framework. This represents an ≈40 times lower computational cost for an equivalent error in two-dimensional computations. 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subjects Accuracy
Algorithms
Compressible
Compressible fluids
Computational fluid dynamics
Computational physics
Computer simulation
Contact pressure
Convergence
Diffuse interface
Diffusion effects
Direct numerical simulation
Errors
Heat conductivity
Large eddy simulation
Miscibility
Miscible
Mixing
Multispecies
Navier-Stokes equations
Numerical methods
Pressure oscillations
Richtmeyer-Meshkov instability
Species diffusion
Thermal conductivity
Two dimensional models
Viscosity
title A five-equation model for the simulation of miscible and viscous compressible fluids
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