A novel Cercignani–Lampis boundary model for discrete velocity methods in predicting rarefied and multi-scale flows

Jianfeng Chen, Sha Liu, Rui Zhang, Hao Jin, Congshan Zhuo, Ming Fang, Yanguang Yang, Chengwen Zhong

科研成果: 期刊稿件文章同行评审

摘要

To extend the discrete velocity method (DVM) and unified methods to more realistic boundary conditions, a Cercignani–Lampis (CL) boundary with different momentum and thermal energy accommodations is proposed and integrated into the DVM framework. By giving the macroscopic flux from the numerical quadrature of the incident molecular distribution, the reflected macroscopic flux can be obtained for the given accommodation coefficients. Then, an anisotropic Gaussian distribution can be found for the reflected molecules, whose parameters are determined by the calculated reflected macroscopic flux. These macroscopic flux and microscopic Gaussian distribution form a complete physical process for the reflected molecules. Furthermore, the CL boundary is integrated into the unified gas-kinetic scheme (UGKS), making it suitable for the simulation of both monatomic and diatomic gas flows, and it accommodates both the conventional Cartesian velocity space and the recently developed efficient unstructured velocity space. Moreover, this new GSI boundary is suitable for both explicit and implicit schemes, offering better performance for flow prediction. Finally, the performance of the new boundary is validated through a series of numerical tests covering a wide range of Knudsen and Mach numbers.

源语言英语
文章编号108769
期刊Communications in Nonlinear Science and Numerical Simulation
146
DOI
出版状态已出版 - 7月 2025

指纹

探究 'A novel Cercignani–Lampis boundary model for discrete velocity methods in predicting rarefied and multi-scale flows' 的科研主题。它们共同构成独一无二的指纹。

引用此