摘要
提出一种基于遗传算法的轴流汽轮机级通流部分的优化设计方法。该方法以轴流汽轮机级效率为优化目标,利用遗传算法通过使汽轮机级在满足一系列约束条件下效率最大化来搜索最佳的通流部分几何参数和气流参数。级效率计算和约束条件分析由一个轴流汽轮机级设计工况计算程序得到。遗传算法中每个个体的适应度由级效率和由约束条件得到的罚函数项组成。该方法应用于某型机第一级通流部分的优化设计,优化结果显示,可求得具有最佳效率的通流部分几何形状和气流参数。
Based on the genetic optimization theory, a design method for the flow path of an axial flow steam turbine stage is presented. In the method, the maximum efficiency of the stage is taken as the objective, a series of functions are taken as constraints and the optimal geometric and aerodynamic parameters are solved using genetic algorithm process. The efficiency and constraints evaluation are performed using a program for the thermodynamic calculation of steam turbine stages in the design condition. The fitness of each individual is composed by the turbine efficiency and a penalty function containing the constraints. The proposed method is applied to the design of a real steam turbine stage. The results show that the new method successfully searched out the optimal geometric and aerodynamic parameters of the stage had maximum efficiency.
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2004年第7期166-170,共5页
Journal of Mechanical Engineering
基金
全国优秀搏士学位论文作者专项基金资助项目(200136)。
关键词
遗传算法
优化设计
汽轮机
通流部分
Genetic algorithm Optimum design Steam turbine Through flow section
