摘要
高超声速飞行器是当前世界航空航天研究的重点方向,其气动设计面临诸多技术挑战.本文围绕高超声速飞行器气动设计相关的高升阻比气动布局设计、高超声速绕流中的复杂物理效应及预示方法、气动特性天地相关性三大关键技术问题,从设计方法、预示方法、流动机理以及工程应用等方面回顾了研究进展.在气动布局设计方面,本文剖析了高升阻比乘波布局工程实现所面临的装填空间、操纵稳定性等技术难点及可期的解决方案;在复杂流动物理效应及预示方法方面,本文总结了边界层转捩/湍流、表面烧蚀、高温真实气体效应和稀薄气体效应等前沿科学问题在高超声速飞行器气动设计中的突出影响,并对相关的流动机理及预示方法进行了综述;在天地相关性研究方面,本文分析了当前面临的瓶颈,并提出与人工智能技术相结合是取得突破的可行途径.
Hypersonic vehicle is the key competitive equipment direction of world aerospace power,and its aerodynamic design faces multiple technical challenges.This paper focuses on three key technical issues related to the aerodynamic design of hypersonic vehicle,such as high lift-to-drag ratio aerodynamic configuration design,prediction method of the complicated physical effects in hypersonic flow around a body,and the ground-to-flight correlation of aerodynamic characteristics.Research progress is reviewed from the perspectives of the design method,prediction method,flow mechanism,and engineering applications.In terms of the aerodynamic design,the technical difficulties in the engineering realization of high lift-to-drag ratio waverider configuration such as loading space and longitudinal stability are analyzed.For the complex flow physics and prediction method,this paper summarizes the significance of key issues,including the boundary-layer transition,surface ablation,high-temperature real gas effect,and rarefied gas effect,in hypersonic vehicle aerodynamic design.Furthermore,the corresponding flow mechanisms and prediction methods are reviewed.With respect to research on ground-to-flight correlations,this paper analyzes the current bottlenecks and considers using artificial intelligence technology is a feasible way to make a breakthrough.
作者
安复兴
李磊
苏伟
刘文伶
董超
AN FuXing;LI Lei;SU Wei;LIU WenLing;DONG Chao(Beijng Institute of Space Long Mach Vehicle,Beijing 100076,China)
出处
《中国科学：物理学、力学、天文学》
CSCD
北大核心
2021年第10期2-21,共20页
Scientia Sinica Physica,Mechanica & Astronomica
关键词
高超声速
高升阻比气动布局
复杂流动
预示方法
天地相关性
hypersonic
high lift-to-drag ratio aerodynamic configuration
complex flows
prediction method
ground-to-flight correlation
