多级涡轮多工况气动优化设计研究

采用将准三维设计和多级局部优化联合的多级涡轮多工况气动优化设计流程对某三级航空发动机涡轮进行多级气动优化设计.优化联合采用人工神经网络和遗传算法对各列叶栅进行三维局部优化,流场计算采用全三维粘性流N-S方程求解.通过优化设计,改善了各列的性能,并对各列间参数进行了优化匹配,两种工况的总效率均提高1%,总流量基本不变,总体性能提高,达到设计要求.

Study on aerodynamic optimization design of multistage axial turbine under multiple working conditions

A three-stage axial turbine was redesigned by using an aerodynamic optimization design process of multistage axial turbine in multiple working conditions,which combines quasi-3D design methods and multistage local optimization methods.Genetic algorithm and artificial neural network were employed to 3D local optimization of various cascades.The flow field was computed through a three-dimensional viscosity Navier-Stokes equation.With optimization design,the performance of every cascade was optimized,and the overall efficiency increased by 1% under the reliable total flow mass,indicating that the total performance was improved to satisfy the design requirements.