Control of hypersonic boundary-layer transition by suppressing fundamental resonance using surface heating

被引:0
作者
Ji, Xiaoyang [1 ,2 ]
Dong, Ming [1 ]
Zhao, Lei [3 ,4 ]
机构
[1] Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China
[2] Univ Chinese Acad Sci, Sch Engn Sci, Beijing 101408, Peoples R China
[3] Tianjin Univ, Dept Mech, Tianjin 300072, Peoples R China
[4] Natl Key Lab Vehicle Power Syst, Tianjin 300350, Peoples R China
基金
美国国家科学基金会;
关键词
boundary layer stability; boundary layer control; NUMERICAL-SIMULATION; SECONDARY INSTABILITY; STABILITY; RECEPTIVITY; WALL; STABILIZATION;
D O I
10.1017/jfm.2025.10378
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
This paper focuses on the concept of delaying laminar-turbulent transition in hypersonic boundary layers by stabilising fundamental resonance (FR), a key nonlinear mechanism in which finite-amplitude Mack modes support the rapid growth of oblique perturbations. As a pioneering demonstration of this control strategy, we introduce surface heating applied exclusively during the nonlinear phase. Unlike traditional control methods that target the linear phase, the suppressive effect of surface heating on secondary instability modes during FR is evident across various Reynolds numbers, wall temperatures and fundamental frequencies, as confirmed by direct numerical simulations (DNS) and secondary instability analyses (SIA). To gain deeper insights into this control concept, an asymptotic analysis is conducted, revealing an almost linear relationship between the suppression effect and the heating intensity. The asymptotic predictions align overall with the DNS and SIA calculations. The asymptotic theory reveals that the suppression effect of FR is primarily influenced by modifications to the fundamental-mode profile, while mean-flow distortion has a comparatively modest yet opposing impact on this process. This research presents a promising approach to controlling transition considering the nonlinear evolution of boundary-layer perturbations, demonstrating advantages over conventional methods that are sensitive to frequency variations.
引用
收藏
页数:32
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