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Hybrid continuum–molecular modelling of multiscale internal gas flows
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Patronis, Alexander, Lockerby, Duncan A., Borg, Matthew K. and Reese, Jason M. (2013) Hybrid continuum–molecular modelling of multiscale internal gas flows. Journal of Computational Physics, Volume 255 . pp. 558-571. doi:10.1016/j.jcp.2013.08.033 ISSN 0021-9991.
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WRAP_Lockerby_hybrid_continuum_1-s2.0-S0021999113005718-main.pdf - Published Version Available under License Creative Commons Attribution. Download (900Kb) | Preview |
Official URL: http://dx.doi.org/10.1016/j.jcp.2013.08.033
Abstract
We develop and apply an efficient multiscale method for simulating a large class of low-speed internal rarefied gas flows. The method is an extension of the hybrid atomistic–continuum approach proposed by Borg et al. (2013) [28] for the simulation of micro/nano flows of high-aspect ratio. The major new extensions are: (1) incorporation of fluid compressibility; (2) implementation using the direct simulation Monte Carlo (DSMC) method for dilute rarefied gas flows, and (3) application to a broader range of geometries, including periodic, non-periodic, pressure-driven, gravity-driven and shear-driven internal flows. The multiscale method is applied to micro-scale gas flows through a periodic converging–diverging channel (driven by an external acceleration) and a non-periodic channel with a bend (driven by a pressure difference), as well as the flow between two eccentric cylinders (with the inner rotating relative to the outer). In all these cases there exists a wide variation of Knudsen number within the geometries, as well as substantial compressibility despite the Mach number being very low. For validation purposes, our multiscale simulation results are compared to those obtained from full-scale DSMC simulations: very close agreement is obtained in all cases for all flow variables considered. Our multiscale simulation is an order of magnitude more computationally efficient than the full-scale DSMC for the first and second test cases, and two orders of magnitude more efficient for the third case.
Item Type: | Journal Article | ||||
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Subjects: | Q Science > QC Physics | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||
Library of Congress Subject Headings (LCSH): | Gas flow , Monte Carlo method, Multiscale modeling , Rarefied gas dynamics | ||||
Journal or Publication Title: | Journal of Computational Physics | ||||
Publisher: | Academic Press Inc. Elsevier Science | ||||
ISSN: | 0021-9991 | ||||
Official Date: | 15 December 2013 | ||||
Dates: |
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Volume: | Volume 255 | ||||
Page Range: | pp. 558-571 | ||||
DOI: | 10.1016/j.jcp.2013.08.033 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Date of first compliant deposit: | 26 December 2015 | ||||
Date of first compliant Open Access: | 26 December 2015 |
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