基于遗传算法与响应面模型的压气机叶片气动优化设计

1引言由于叶轮机械内部复杂的三维流动,各种波涡结构的广泛存在,吸引了众多学者对其进行了积极的探索与研究。CFD作为可靠省时的设计手段之一,在叶轮机械气动设计的过程中显示了其卓越的性能1~3]。June Chung和Lee K i D4]采用基于梯度法的优化程序,以绝热效率为目标函数对NA

Aerodynamic design optimization of compressor blade using genetic algorithms and response surface model

A flow field solver code was developed based on three dimensional Navier-Stokes equations and validated by comparing the computational results with experimental data.A new global optimization strategy was described for computationally expensive aerodynamic design optimization problems,combined with improved-hypercube-sampling algorithm,a second-order polynomial response surface models(RSM),improved genetic algorithm(GA) and 3-D Navier-Stokes solver.This optimization method was applied to aerodynamic redesign of transonic compressor rotor with sweep and curve.The optimized rotor can evidently enhance the adiabatic efficiency and has fine off-design performance.The results showed that both the solver code and the optimization method have fine capability.