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Multi-Group Maximum Entropy Model for Translational Non-EquilibriumThe aim of the current work is to describe a new model for flows in translational non- equilibrium. Starting from the statistical description of a gas proposed by Boltzmann, the model relies on a domain decomposition technique in velocity space. Using the maximum entropy principle, the logarithm of the distribution function in each velocity sub-domain (group) is expressed with a power series in molecular velocity. New governing equations are obtained using the method of weighted residuals by taking the velocity moments of the Boltzmann equation. The model is applied to a spatially homogeneous Boltzmann equation with a Bhatnagar-Gross-Krook1(BGK) model collision operator and the relaxation of an initial non-equilibrium distribution to a Maxwellian is studied using the model. In addition, numerical results obtained using the model for a 1D shock tube problem are also reported.
Document ID
20170011059
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Jayaraman, Vegnesh
(Illinois Univ. at Urbana-Champaign Urbana, IL, United States)
Liu, Yen
(NASA Ames Research Center Moffett Field, CA, United States)
Panesi, Marco
(Illinois Univ. at Urbana-Champaign Urbana, IL, United States)
Date Acquired
November 13, 2017
Publication Date
June 5, 2017
Subject Category
Aeronautics (General)
Numerical Analysis
Report/Patent Number
ARC-E-DAA-TN43964
Report Number: ARC-E-DAA-TN43964
Meeting Information
Meeting: AIAA Aviation 2017
Location: Denver, CO
Country: United States
Start Date: June 5, 2017
End Date: June 9, 2017
Sponsors: American Inst. of Aeronautics and Astronautics
Funding Number(s)
CONTRACT_GRANT: NNX15AU44G
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Entropy
Translational
Multi-Group
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