Multi-species modeling in the particle-based ESBGK method for monatomic gas species

Abstract

Multi-species modeling is implemented for the particle-based ellipsoidal statistical Bhatnagar-Gross-Krook (ESBGK) for monatomic species in the open-source plasma simulation suite PICLas. After a literature review on available multi-species extensions of the kinetic model equations and approaches for the determination of the transport coefficients, Brull's model is implemented for the former and Wilke's mixing rules and collision integrals for the latter. The implementation is verified with three simulation test cases: a simple reservoir, a supersonic Couette flow and the hypersonic flow around a 70${}^{\circ }$ blunted cone. The simulation results are compared with the Direct Simulation Monte Carlo (DSMC) method, where good overall agreement can be achieved. However, the determination of the transport coefficients through collision integrals offers better agreement with the DSMC results at acceptable computational cost. For the last test case, a comparison of the computational duration is presented.

References in corpus (5)

• A Fokker-Planck model of the Boltzmann equation with correct Prandtl number
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• Extending the Particle ESBGK Method to Diatomic Molecules including Quantized Vibrational Energies
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Cited by in corpus (2)

• Multi-species modeling in the particle-based ellipsoidal statistical Bhatnagar-Gross-Krook method including internal degrees of freedom
• A direct relaxation process for particle methods in gas kinetic theory