Optimal Disturbances Drive Hypersonic Blunt-Wedge Growth

Tsinghua University Press

Hypersonic flight faces a critical challenge: predicting and controlling boundary layer transition from laminar to turbulent flow, which drastically increases heat and friction. Recent advances have challenged the conventional understanding of hypersonic boundary layer transition, where nonmodal growth mechanisms now appear dominant over traditional normal-mode instabilities in blunted configurations. While the stabilizing effect of nose bluntness on Mack modes is well-established, the paradoxical "transition reversal" phenomenon - where increased bluntness beyond a critical point accelerates transition - remains unresolved after four decades of research. Particularly contentious is whether entropy-layer disturbances or boundary-layer transients drive this reversal. Current understanding is further complicated by conflicting experimental and computational observations regarding disturbance patterns and their sensitivity to wall conditions. This knowledge gap critically impedes the design of reliable transition control strategies for practical hypersonic vehicles with necessary blunt leading edges.

Recently, a team of researchers has made significant strides in solving one of hypersonic aerodynamics' most persistent puzzles - the unpredictable transition from smooth to turbulent airflow that affects vehicle performance.

The team published their work in Chinese Journal of Aeronautics on March 5, 2025. Their study reveals two competing instability patterns that provide a possible explanation for the long-debated "transition reversal" phenomenon observed in blunt-nosed hypersonic vehicles.

Using advanced computational analysis at Mach 5.9 conditions (equivalent to over 4,500 mph), the researchers discovered that slow-growing entropy layer waves and fast-transient boundary layer bursts compete for dominance in different flight scenarios. This breakthrough explains why previous studies often produced conflicting results and provides a physical explanation for the mysterious transition reversal effect, where increasing nose bluntness beyond a certain point actually worsens performance.

The research combines resolvent analysis with stability equation methods to provide the most detailed picture yet of instability mechanisms in blunted hypersonic configurations. "Our work finally provides a possible solution to explain observations that have puzzled the field for decades," noted the lead researcher. The team's findings are particularly timely as nations worldwide race to develop advanced hypersonic technologies for both civilian and defense applications.

While the current study provides fundamental insights under idealized conditions, the team acknowledges the need to investigate more complex real-world scenarios. Future work will examine three-dimensional flow effects, nonlinear interactions between disturbance types, and behavior in noisy wind tunnel environments that better simulate actual flight conditions. These findings mark a critical step toward developing reliable transition prediction models and control strategies for next-generation hypersonic vehicles.

Other contributors include Tianju Ma, from Academy of Aerospace Propulsion Technology in Xi'an, China; Peixu Guo, Jiaao Hao, Chihyung Wen from Department of Aeronautical and Aviation Engineering at The Hong Kong Polytechnic University in Hong Kong SAR, China.

Original Source

Yifeng CHEN, Tianju MA, Peixu GUO, Jiaao HAO, Chihyung WEN. Optimal disturbances and growth patterns in hypersonic blunt-wedge flow [J]. Chinese Journal of Aeronautics, 2025, https://doi.org/10.1016/j.cja.2025.103461.

About Chinese Journal of Aeronautics

Chinese Journal of Aeronautics (CJA) is an open access, peer-reviewed international journal covering all aspects of aerospace engineering, monthly published by Elsevier. The Journal reports the scientific and technological achievements and frontiers in aeronautic engineering and astronautic engineering, in both theory and practice. CJA is indexed in SCI (IF = 5.7, Q1), EI, IAA, AJ, CSA, Scopus.

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