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

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article number108769
JournalCommunications in Nonlinear Science and Numerical Simulation
Volume146
DOIs
StatePublished - Jul 2025

Keywords

  • Accommodation coefficient
  • Discrete velocity method
  • gas–surface interaction
  • Multi-scale flows

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