多级涡轮多目标气动优化设计流程

Multi-objective aerodynamic optimization design process of multistage axial turbine

关键词:  涡轮  设计流程  多目标优化+  遗传算法+  人工神经网络+

Key words:  Turbine  Design process  Multi-objective optimization+  Genetic algorithm+  Artificial neural network+

摘要:

在准三维设计基础上,采用多目标优化设计方法,给出一个多级涡轮气动优化设计流程,优化联合采用人工神经网络和遗传算法,流场计算采用全三维粘性流N-S方程求解。此优化设计流程有三个特点:针对每列叶栅的气动特性进行局部优化;各列叶栅反复多次优化;粗细网格交替使用。并采用此设计流程对一三级涡轮进行优化设计,效率提高1%,说明此方法可以有效的用于多级涡轮气动优化设计。

Abstract:

Based on the result of quasi-3D design,applying multi-objective aerodynamic optimization design method,an aerodynamic optimization design process of multistage axial turbine is presented.Genetic algorithm and artificial neural network are jointly adopted during optimization.Three-dimensional viscosity Navier-Stokes equation solver was applied.The optimization process has three features: local optimization based on aerodynamic performance of every cascade;several optimizations being performed to every cascade;and alternative use of coarse grid and fine grid.Such process is applied to optimize a three-stage axial turbine.The results show that the total efficiency increases 1%.This indicates that such method may be efficiently applied to the aerodynamic design optimization of multistage axial turbine.