多级涡轮多目标气动优化设计流程

推进技术 ›› 2007, Vol. 28 ›› Issue (2): 176-180.

多级涡轮多目标气动优化设计流程

赵洪雷,颜培刚,韩万金

哈尔滨工业大学能源科学与工程学院黑龙江哈尔滨150006;哈尔滨工业大学能源科学与工程学院黑龙江哈尔滨150007;哈尔滨工业大学能源科学与工程学院黑龙江哈尔滨150008

发布日期:2021-08-15

Multi-objective aerodynamic optimization design process of multistage axial turbine

School of Energy Science and Engineering,Harbin Inst.of Technology,Harbin 150006,China;School of Energy Science and Engineering,Harbin Inst.of Technology,Harbin 150007,China;School of Energy Science and Engineering,Harbin Inst.of Technology,Harbin 150008,China

Published:2021-08-15

摘要/Abstract

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。

关键词: 涡轮;设计流程;多目标优化+;遗传算法+;人工神经网络+

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.

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

赵洪雷,颜培刚,韩万金. 多级涡轮多目标气动优化设计流程[J]. 推进技术, 2007, 28(2): 176-180.