A machine learning method for transition prediction in hypersonic flows over a cone with angles of attack
Author:
Affiliation:
1. State Key Laboratory for Turbulence and Complex Systems, College of Engineering, Peking University, Beijing 100871, China
Funder
National Natural Science Foundation of China
Publisher
AIP Publishing
Subject
General Physics and Astronomy
Link
https://aip.scitation.org/doi/pdf/10.1063/5.0077734
Reference24 articles.
1. Aerodynamic heating in transitional hypersonic boundary layers: Role of second-mode instability
2. Transition and Stability of High-Speed Boundary Layers
3. Wall pressure beneath a transitional hypersonic boundary layer over an inclined straight circular cone
4. Transition prediction of a hypersonic boundary layer over a cone at small angle of attack—with the improvement of e N method
5. Prediction and control of transition in supersonic and hypersonic boundary layers
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