边界层吸入式进气道气动设计及流动控制技术研究进展

doi:10.7527/S1000-6893.2025.32973

Abstract

Abstract:

Boundary-Layer-Ingesting （BLI） propulsion technology uses a rear mounted engine to draw in the boundary layer on the fuselage， reducing the airflow velocity at the inlet of the intake duct and the outlet of the propulsion system， thereby achieving efficient flight of the aircraft. Compared to traditional propulsion systems， BLI propulsion systems have the potential to significantly reduce fuel consumption， flight resistance， and pollution emissions， and are a key development direction in the field of aircraft and engine integration in the future. As a specific practitioner of boundary layer ingesting， the performance of the BLI inlet directly affects the comprehensive benefits of the entire BLI propulsion system compared to traditional propulsion systems. Since its emergence， it has attracted widespread attention from scholars and research institutions at home and abroad. Based on this， this article provides an overview of the research background and progress of BLI intake duct technology， with a focus on discussing the aerodynamic design methods， research methods， internal flow mechanism， and internal flow control technology of BLI intake ducts. Finally， based on the analysis and summary of the current research status at home and abroad， the future development of BLI intake duct is discussed.

Key words: boundary-layer-ingesting propulsion technology, BLI inlet, aerodynamic design, internal flow mechanism, internal flow control technology

CLC Number:

V231.3

Lei LIU, Zhaorui ZHANG, Kun WANG, Zhihao WANG, Chen ZHU, Huijun TAN, Hexia HUANG. Research progress on aerodynamic design and flow control technologies for boundary layer ingestion inlets[J]. Acta Aeronautica et Astronautica Sinica, 2026, 47(7): 632973.

Figures/Tables 38

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作者	进气道类型	优化方法	总压恢复变化量/%	总压畸变变化量/%	流量/（kg∙s^-1）
Lee等^［44］	BLI	伴随优化	+3.25	-52.5	未知
Kim和Liou^［45］	BLI	伴随优化	-0.38	-12.50	未知
Zingg等^{［37，46-48］}	BLI	伴随优化	+1~+1.4	-90	未知
Kenway和Kiris^［49］	BLI	伴随优化	未知	-37.5	76.23~76.01
Kucuk和Tuncer^［50］	M2129	伴随优化	+0.6	-17.60	2.82~2.92
			+1	-33.70	2.82~2.90
			+1.5	-71	2.82~2.50
Kamat等^［51］	S弯	伴随优化	未知	-8.36	未知
于广元^［52］	S弯	伴随优化	+0.3	-7.72	3.19~3.26
	S弯	伴随优化	+0.29	-6.55	3.18~3.25
Lee和Kim^［53］	S弯	伴随优化	+1	-25	未知
	S弯	伴随优化	+1.5	-3	未知
唐静等^［54］	DSI	伴随优化	+5	-3	未知
刘雷^［40］	BLI	遗传算法	+0.76	-3.25	9.06~9.13
曾丽芳等^［55］	S弯	遗传算法	+1.26	-20.89	未知
张乐等^［56］	S弯	遗传算法	+5.46	-38.70	未知
Chiereghin等^［57］	S弯	遗传算法	+0.062	-10	未知
Aranake等^［58］	蛇形	遗传算法	+0.26	-50	未知
He等^［59］	内鼓包S弯	粒子群优化方法	+0.01	-27.85	未知
Rodriguez等^［60-61］	BLI	拟牛顿法	+0.022	0	未知
Florea等^［7，62］	BLI	全局加局部优化	+1	-30	未知

研究者	控制方法	畸变指数改善效果	总压恢复影响
Owens等^［93］	涡流发生器（VG阵列）	DPCP畸变降低约80%	降低约0.5%
Küçük等^［94］	涡流发生器（VG优化）	畸变降低约80%	降低0.35%
Yi等^［95］	涡流发生器	DC60畸变降低>50%	基本不变
Scribben等^［96］	主动连续微射流	周向畸变降低约70%	提高约2%
Allan等^［97］	射流+涡流发生器	畸变降低>50%	基本不变
Anderson等^［98］	射流+涡流发生器	畸变降低	基本不变
Gissen等^［99］	合成射流+涡流发生器	周向畸变降低约35%	降低<1%
Liu等^［18］	吸气控制+扰流片	DC60降低约93%	提高约0.52%

Research progress on aerodynamic design and flow control technologies for boundary layer ingestion inlets

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