Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/156101
Title: A three-dimensional modal discontinuous Galerkin method for the second-order Boltzmann-Curtiss-based constitutive model of rarefied and microscale gas flows
Authors: Singh, Satyvir
Karchani, Abolfazl
Chourushi, Tushar
Myong, Rho Shin
Keywords: Engineering::Mechanical engineering::Fluid mechanics
Issue Date: 2022
Source: Singh, S., Karchani, A., Chourushi, T. & Myong, R. S. (2022). A three-dimensional modal discontinuous Galerkin method for the second-order Boltzmann-Curtiss-based constitutive model of rarefied and microscale gas flows. Journal of Computational Physics, 457, 111052-. https://dx.doi.org/10.1016/j.jcp.2022.111052
Project: NAP-SUG-M408074
Journal: Journal of Computational Physics
Abstract: A three-dimensional mixed modal discontinuous Galerkin (DG) method based on tetrahedral meshes was developed for simulating all flow regimes from subsonic to hypersonic rarefied and microscale gas flows within a single framework. The mixed modal DG scheme was used for solving conservation laws in conjunction with the second-order Boltzmann-Curtiss-based constitutive model of diatomic and polyatomic gases in strong thermal nonequilibrium. A decomposition algorithm based on the compression-expansion and velocity shear sub-problems was presented for solving the multi-dimensional second-order constitutive model. The Langmuir and Maxwell-Smoluchowski velocity-slip and temperature-jump boundary conditions were also implemented into the DG framework. To assess the ability of the new computational model to capture correct physical phenomena, we applied the new model to various gas flows in a wide range of continuum-rarefied and microscale regimes. The computational results in the rarefied and microscale flow regimes showed that the second-order constitutive model yielded solutions that were in better agreement with the direct simulation Monte Carlo and experimental data than the first-order constitutive model.
URI: https://hdl.handle.net/10356/156101
ISSN: 0021-9991
DOI: 10.1016/j.jcp.2022.111052
Schools: School of Physical and Mathematical Sciences 
Rights: © 2022 Elsevier Inc. All rights reserved. This paper was published in Journal of Computational Physics and is made available with permission of Elsevier Inc.
Fulltext Permission: embargo_20240522
Fulltext Availability: With Fulltext
Appears in Collections:SPMS Journal Articles

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