Rarefied gas dynamics are important for a wide variety of applications. An improvement in the ability of general users to predict these gas flows will enable optimization of current, and discovery of future processes. Despite this potential, most rarefied simulation software is designed by and for experts in the community. This has resulted in low adoption of the methods outside of the immediate RGD community. This paper outlines an ongoing effort to create a rarefied gas dynamics simulation tool that can be used by a general audience. The tool leverages a direct simulation Monte Carlo (DSMC) library that is available to the entire community and a web-based simulation process that will enable all users to take advantage of high performance computing capabilities. First, the DSMC library and simulation architecture are described. Then the DSMC library is used to predict a number of representative transient gas flows that are applicable to the rarefied gas dynamics community. The paper closes with a summary and future direction.
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15 November 2016
30TH INTERNATIONAL SYMPOSIUM ON RAREFIED GAS DYNAMICS: RGD 30
10–15 July 2016
Victoria, BC, Canada
Research Article|
November 15 2016
Development of the ARISTOTLE webware for cloud-based rarefied gas flow modeling
Timothy R. Deschenes;
Timothy R. Deschenes
a)
Spectral Sciences, Inc
, 4 Fourth Avenue, Burlington, MA 01803, USA
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Jonathan Grot;
Jonathan Grot
Spectral Sciences, Inc
, 4 Fourth Avenue, Burlington, MA 01803, USA
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Jason A. Cline
Jason A. Cline
Spectral Sciences, Inc
, 4 Fourth Avenue, Burlington, MA 01803, USA
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a)
Corresponding author: tdeschenes@spectral.com
AIP Conf. Proc. 1786, 050018 (2016)
Citation
Timothy R. Deschenes, Jonathan Grot, Jason A. Cline; Development of the ARISTOTLE webware for cloud-based rarefied gas flow modeling. AIP Conf. Proc. 15 November 2016; 1786 (1): 050018. https://doi.org/10.1063/1.4967568
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