Modeling Non-Equilibrium Rarefied Gas Flows Past a Cross-Domain Reentry Unmanned Flight Vehicle Using a Hybrid Macro-/Mesoscopic Scheme
The cross-domain reentry unmanned flight vehicle passes through thin atmospheres and dense atmospheres when it comes across atmospheres in the near-space area. For the early transition regime, the classical macroscopic and mesoscopic approaches are either not accurate or computational too expensive. The hybrid macro-/mesoscopic method is proposed for simulating rarefied gas flows past a cross-domain reentry spheroid–cone unmanned flight vehicle in the present study. The R26 moment scheme is applied in the main flow from a macroscopic point of view, and the discrete velocity method (DVM) is used for solving the Boltzmann equation from a mesoscopic point of view. The simulation results show that the hybrid macro-/mesoscopic scheme is well-suited for non-equilibrium rarefied gas flows past a cross-domain reentry unmanned flight vehicle. The results obtained in this study are consistent with benchmark results, with a maximum density error of 9%. The maximum errors of the heat transfer coefficient and pressure coefficient are 2% and 4.6%, respectively. In addition, as the Knudsen number (Kn) becomes larger, the thickness of the shock layer at the head of the flight vehicle becomes thicker, and non-equilibrium effects become more critical for the aircraft. Since the Boltzmann–Shakhov equation has only been solved close to the wall of the spacecraft, the computational cost can be considerably saved.
Authors
- Jing Men (ORCID: https://orcid.org/0000-0002-8608-2515)
- Jie Li (ORCID: https://orcid.org/0000-0001-7147-4746)
- Bowen Xu (ORCID: https://orcid.org/0000-0002-0106-9304)
- Haixia Ding
- Weiqi Yang (ORCID: https://orcid.org/0009-0006-9755-8482)
Institutions
- National University of Defense Technology (CN)
Publication Details
- Journal
- Drones
- Published
- 2025-03-24
- DOI
- https://doi.org/10.3390/drones9040239
- Citations
- 1
- Primary Topic
- Gas Dynamics and Kinetic Theory
- Type
- article
- Field-Weighted Citation Impact
- 3.73
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Hunan Province