Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/156103
Title: Computational study of hypersonic rarefied gas flow over re-entry vehicles using the second-order Boltzmann-Curtiss constitutive model
Authors: Chourushi, Tushar
Singh, Satyvir
Sreekala, Vishnu Asokakumar
Myong, Rho Shin
Keywords: Engineering::Mechanical engineering::Fluid mechanics
Issue Date: 2021
Source: Chourushi, T., Singh, S., Sreekala, V. A. & Myong, R. S. (2021). Computational study of hypersonic rarefied gas flow over re-entry vehicles using the second-order Boltzmann-Curtiss constitutive model. International Journal of Computational Fluid Dynamics, 35(8), 566-593. https://dx.doi.org/10.1080/10618562.2022.2032680
Project: NAP-SUG-M408074
Journal: International Journal of Computational Fluid Dynamics
Abstract: The aerothermodynamics of re-entry vehicles vary significantly upon re-entry, descent, and landing, because of the drastic changes in atmospheric density and velocity. In highly rarefied regimes, the conventional Navier-Stokes-Fourier equations may not provide an accurate prediction of aerothermodynamic loads acting on these vehicles. To tackle these challenges, an explicit mixed-type modal discontinuous Galerkin method was developed, based on the second-order Boltzmann-Curtiss constitutive model and the Maxwell slip and Smoluchowski jump conditions. A comprehensive analysis was conducted for different configurations of re-entry vehicles under various degrees of rarefaction. The computational results show that the rotational mode of energy transfer for diatomic gases substantially affects the lift-to-drag ratio and stability of re-entry vehicles. The total drag and heat transfer rate of the second-order constitutive model remained smaller than those of the first-order constitutive model in the rarefied regime, which makes the second-order results in better agreement with the direct simulation Monte Carlo.
URI: https://hdl.handle.net/10356/156103
ISSN: 1029-0257
DOI: 10.1080/10618562.2022.2032680
Rights: © 2022 Informa UK Limited, trading as Taylor & Francis Group. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SPMS Journal Articles

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