Zhang, J, John, B, Pfeiffer, M et al. (2 more authors) (2019) Particle-based hybrid and multiscale methods for nonequilibrium gas flows. Advances in Aerodynamics, 1 (1). 12. ISSN 2524-6992
Abstract
Over the past half century, a variety of computational fluid dynamics (CFD) methods and the direct simulation Monte Carlo (DSMC) method have been widely and successfully applied to the simulation of gas flows for the continuum and rarefied regime, respectively. However, they both encounter difficulties when dealing with multiscale gas flows in modern engineering problems, where the whole system is on the macroscopic scale but the nonequilibrium effects play an important role. In this paper, we review two particle-based strategies developed for the simulation of multiscale nonequilibrium gas flows, i.e., DSMC-CFD hybrid methods and multiscale particle methods. The principles, advantages, disadvantages, and applications for each method are described. The latest progress in the modelling of multiscale gas flows including the unified multiscale particle method proposed by the authors is presented.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s). 2019. This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/) |
Keywords: | Nonequilibrium gas flow, Multiscale simulation, Hybrid method, DSMC, Fokker-Planck equation, Boltzmann equation, Unified statistical particle method |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 22 Feb 2022 15:43 |
Last Modified: | 22 Feb 2022 15:43 |
Status: | Published |
Publisher: | Springer |
Identification Number: | 10.1186/s42774-019-0014-7 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:183631 |
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Filename: Zhang2019_Article_Particle-basedHybridAndMultisc.pdf
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