Numerical simulations of attachment-line boundary layer in hypersonic flow. Part 1. Roughness-induced subcritical transitions
The attachment-line boundary layer is critical in hypersonic flows because of its significant impact on heat transfer and aerodynamic performance. In this study, high-fidelity numerical simulations are conducted to analyse the subcritical roughness-induced laminar–turbulent transition at the leading-edge attachment-line boundary layer of a blunt swept body under hypersonic conditions. This simulation represents a significant advancement by successfully reproducing the complete leading-edge contamination process induced by a surface roughness element in a realistic configuration, thereby providing previously unattainable insights. Two roughness elements of different heights are examined. For the lower-height roughness element, additional unsteady perturbations are required to trigger a transition in the wake, suggesting that the flow field around the roughness element acts as a perturbation amplifier for upstream perturbations. Conversely, a higher roughness element can independently induce the transition. A low-frequency absolute instability is detected behind the roughness, leading to the formation of streaks. The secondary instabilities of these streaks are identified as the direct cause of the final transition.
Authors
- Youcheng Xi (ORCID: https://orcid.org/0000-0002-6484-0231)
- Xinguo Sha (ORCID: https://orcid.org/0000-0001-9437-5708)
- Dehua Zhu (ORCID: https://orcid.org/0000-0002-2354-2115)
- Bowen Yan (ORCID: https://orcid.org/0009-0002-0655-9414)
- Song Fu (ORCID: https://orcid.org/0000-0003-2052-7435)
- Guangwen Yang (ORCID: https://orcid.org/0000-0002-8673-8254)
Institutions
- China Aerodynamics Research and Development Center (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Journal of Fluid Mechanics
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1017/jfm.2025.269
- Citations
- 3
- Primary Topic
- Fluid Dynamics and Turbulent Flows
- Type
- article
- Field-Weighted Citation Impact
- 4.00
Funders
- National Natural Science Foundation of China
- Tsinghua University
- Beijing Institute of Technology