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Gas Kinetic Scheme Coupled with High-Speed Modifications for Hypersonic Transition Flow Simulations

Authors :
Chengrui Li
Wenwen Zhao
Hualin Liu
Youtao Xue
Yuxin Yang
Weifang Chen
Source :
Entropy, Vol 26, Iss 2, p 173 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

The issue of hypersonic boundary layer transition prediction is a critical aerodynamic concern that must be addressed during the aerodynamic design process of high-speed vehicles. In this context, we propose an advanced mesoscopic method that couples the gas kinetic scheme (GKS) with the Langtry–Menter transition model, including its three high-speed modification methods, tailored for accurate predictions of high-speed transition flows. The new method incorporates the turbulent kinetic energy term into the Maxwellian velocity distribution function, and it couples the effects of high-speed modifications on turbulent kinetic energy within the computational framework of the GKS solver. This integration elevates both the transition model and its high-speed enhancements to the mesoscopic level, enhancing the method’s predictive capability. The GKS-coupled mesoscopic method is validated through a series of test cases, including supersonic flat plate simulation, multiple hypersonic cone cases, the Hypersonic International Flight Research Experimentation (HIFiRE)-1 flight test, and the HIFiRE-5 case. The computational results obtained from these cases exhibit favorable agreement with experimental data. In comparison with the conventional Godunov method, the new approach encompasses a broader range of physical mechanisms, yielding computational results that closely align with the true physical phenomena and marking a notable elevation in computational fidelity and accuracy. This innovative method potentially satisfies the compelling demand for developing a precise and rapid method for predicting hypersonic boundary layer transition, which can be readily used in engineering applications.

Details

Language :
English
ISSN :
26020173 and 10994300
Volume :
26
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Entropy
Publication Type :
Academic Journal
Accession number :
edsdoj.540f7fbd1b242e2ab8eeb950b0d4598
Document Type :
article
Full Text :
https://doi.org/10.3390/e26020173