基于进化算法和复合参数化方法的低速翼型优化  

Low Speed Airfoil Optimization Based on Evolutionary Algorithm and Composite Parameterization Method

作　　者：王顺顺 郭正[1] WANG Shun-shun;GUO Zheng(College of Aerospace Science and Engineering,National University of Defense Technology,Changsha 410000,China)

机构地区：[1]国防科技大学空天科学学院,湖南长沙410000

出　　处：《气体物理》2022年第5期63-70,共8页Physics of Gases

摘　　要：针对设计工况为Re=1×10^(6)的翼型在2°和8°两种迎角下的气动性能进行综合优化,提升其在巡航与起飞着陆时的性能。利用气动估算软件Xfoil结合NACA 4位数参数化方法进行翼型初步优化,缩小优化空间,减少计算量。通过求解Reynolds平均Navier-Stokes方程的方式进行精确优化,最后利用Hicks-Henne形函数法对翼型表面施加扰动进行细节优化,弥补NACA 4位数参数化方法细节表现不足的缺点。实现了2°和8°两种迎角下气动性能普遍提升20%以上的效果,并发展了一种复合参数化方法下基于改进进化算法的多目标、多步骤气动优化方法。The aerodynamic characteristic of airfoil at 2°and 8°angles of attack in Re=1×10^(6) was comprehensively optimized to improve its performance during cruising,take-off and landing.Firstly,the airfoil was preliminarily optimized by using the aerodynamic calculation software Xfoil with NACA four-digit parameterization method to reduce the optimization space and the amount of calculation.Then,the Reynolds-averaged Navier-Stokes equations were solved for precise optimization.After that,the Hicks-Henne shape function was used to perfect the details of the airfoil surface,which makes up for the lack of detail performance of NACA four-digit parameterization method.The results show that the aerodynamic performance is generally improved by more than 20%at 2°and 8°angles of attack,and a multi-objective and multi-step aerodynamic optimization method with composite parameterization is developed.

关 键 词：气动优化 复合翼型参数化 改进Hicks-Henne形函数 NSGA-Ⅱ算法 低速翼型 

分 类 号：V221.3[航空宇航科学与技术—飞行器设计]