基于进化算法和复合参数化方法的低速翼型优化

针对设计工况为Re=1×106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。 

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

The aerodynamic characteristic of airfoil at 2° and 8° angles of attack in Re=1×106 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.