Numerical evaluation of novel kinetic models for binary gas mixture flows

Most flows of practical interest consist of a mixture of gases. Therefore, the ability to model a gas mixture flow is important. Kinetic models for multicomponent gases have been considered since the original Bhatnagar–Gross–Krook (BGK) model was formulated. BGK-derived models pose a number of difficulties, e.g., avoiding negative density and temperature(s). A distinct challenge of the BGK approximation lies in recovering correct transport coefficients in the continuum limit. Two new kinetic models for gas mixtures, a Shakhov-based model and an ellipsoidal-statistical-based model, were recently introduced. Both models are capable of modeling a binary mixture of monoatomic gases and account for separate species-mean velocity such that the species diffusion and velocity drift are accurately represented. The main advantage is the recovery of three correct transport coefficients in the hydrodynamic limit and, as a result, having a correct Prandtl number for the mixture. The goal of this paper is to numerically validate the two new kinetic models for a range of high-speed flows and demonstrate their capabilities and limitations. The models are first validated against the known results for normal shocks, showing good agreement for species density and temperature profiles. Moreover, the importance of the Prandtl number correction is demonstrated with the evaluation of the heat flux. A parametric study demonstrates the variation in flow properties for different mass ratios between species and for different Mach numbers. Finally, the models are evaluated for the flow around a circular cylinder. A detailed comparison with the Monte Carlo results demonstrates promising results from both kinetic models.Most flows of practical interest consist of a mixture of gases. Therefore, the ability to model a gas mixture flow is important. Kinetic models for multicomponent gases have been considered since the original Bhatnagar–Gross–Krook (BGK) model was formulated. BGK-derived models pose a number of difficulties, e.g., avoiding negative density and temperature(s). A distinct challenge of the BGK approximation lies in recovering correct transport coefficients in the continuum limit. Two new kinetic models for gas mixtures, a Shakhov-based model and an ellipsoidal-statistical-based model, were recently introduced. Both models are capable of modeling a binary mixture of monoatomic gases and account for separate species-mean velocity such that the species diffusion and velocity drift are accurately represented. The main advantage is the recovery of three correct transport coefficients in the hydrodynamic limit and, as a result, having a correct Prandtl number for the mixture. The goal of this paper is to numericall...