应用复合进化算法的叶栅气动优化设计方法的研究

Aerodynamic Optimization Design of Cascade Airfoil Using Hybrid Evolutionary Algorithms

采用结合进化算法和单纯形法的复合进化算法为优化算法,对跨音速轴流压气机叶栅进行气动优化设计。气动性能评价采用Reynolds平均Navier Stokes方程求解技术,采用Baldwin Lomax紊流模型封闭求解的方程。优化设计目标是最大化静压比。设计变量是叶栅型线的Bezier曲线控制点坐标。优化设计结果表明优化设计得到的叶栅具有高静压比和良好的气动性能,同时证明了复合进化算法是一种高效寻优算法。

The hybrid evolutionary algorithm is presented by coupling evolutionary algorithms and simplex method. A transonic compressor blade is optimized using the presented hybrid evolutionary algorithm for the maximization of static pressure rise. The aerodynamic performance of the designed blades is evaluated using the Reynolds-averaged Navier-Stokes solver and Baldwin-Lomax turbulent model. The Bezier curve is applied to represent the blade profile and the corresponding control points are used as the design variables. The obtained results show that the optimized blade with sharp leading and trailing edge has higher static pressure rise than the original one. The high design efficiency is also demonstrated.