迈向智能驱动的高超声速飞行器边界层主动质量引射减阻降热研究新范式

doi:10.7527/S1000-6893.2025.32171

Abstract

Abstract: Due to the characteristics of high Mach number, long flight time and large overload, the new generation of hypersonic vehi-cle is facing extreme aerodynamic heating and complex mechanical environment, which poses a serious challenge to drag reduction and heat reduction performance. This paper focuses on the research methods of active mass ejection drag and heat reduction in the boundary layer of hypersonic vehicles, and systematically reviews the research progress and paradigm trans-formation path in this field. Firstly, the development status of traditional research paradigm-experiment, theory and numerical method is comprehensively reviewed, and the core challenges are revealed : the bottleneck of experimental data sparsity and multi-field coupling measurement, the ' precision-efficiency ' trade-off dilemma of numerical simulation, and the lack of mul-ti-scale coupling modeling theory and method. Based on these challenges, a new paradigm of intelligent scientific research with data-driven, physical information fusion and multi-scale coupling as the core is proposed, and its technical classification and frontier progress are summarized. Through the application cases in the fluid mechanics scenario, the innovation mecha-nism of the new paradigm and its advantages and potential application ideas in solving the challenges of traditional research paradigms are deeply analyzed. The purpose of this paper is to stimulate the interest of researchers through in-depth insight into the new paradigm of intelligent scientific research, promote the sustainable development and paradigm transition of drag reduction and heat reduction research of hypersonic vehicles, and provide important reference and inspiration for the subse-quent exploration of the improvement of drag reduction and heat reduction performance of the new generation of hypersonic vehicles.

Key words: hypersonic vehicle, active boundary layer mass injection, drag and heat reduction, flow control, data-driven, c physical information integration, multi-scale fusion

CLC Number:

V411

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Towards a new paradigm of intelligence-driven active mass ejection drag and heat reduction research for hypersonic vehicle boundary layer

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