Multi-species modeling in the particle-based ellipsoidal statistical Bhatnagar–Gross–Krook method for monatomic gas species
Multi-species modeling in the particle-based ellipsoidal statistical Bhatnagar–Gross–Krook method for monatomic gas species
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DOI：
10.1063/5.0037915
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发表时间：
2020-11
影响因子：
4.6
通讯作者：
M. Pfeiffer;A. Mirza;P. Nizenkov
中科院分区：
文献类型：
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作者：
M. Pfeiffer;A. Mirza;P. Nizenkov
在开源等离子体模拟软件PICLas中，实现了基于粒子的椭球统计Bhatnagar-Gross-Krook（ESBGK）单原子粒子群的多粒子群建模。经过文献回顾可用的多物种扩展的动力学模型方程和方法的传输系数的确定，Brull的模型实施前和Wilke的混合规则和碰撞积分为后者。通过简单贮液器、超声速Couette流和70 °钝锥高超声速绕流三个算例验证了该方法的有效性。模拟结果进行了比较，直接模拟蒙特卡罗（DSMC）方法，可以实现良好的整体协议。然而，通过碰撞积分的输运系数的确定提供了更好的协议与DSMC结果在可接受的计算成本。对于最后一个测试用例，计算持续时间的比较。
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.