Aerodynamic Optimum Design of Transonic Turbine Cascades Using Genetic Algorithms

作     者：Li Jun Feng Zhenping Chang Jianzhong Shen Zuda(Institute of Turbomachinery, School of Energy & Power Engineering, Xi’an Jiaotong University,Xi’an, Shaanxi, 710049, China) 

作者机构：Institute of Turbomachinery School of Energy & Power Engineering Xi’an Jiaotong University Xi’an China 

出 版 物：《Journal of Thermal Science》 (热科学学报（英文版）)

年 卷 期：1997年第6卷第2期

页      码：111-116页

摘      要：This paper presents an aerodynamic optimum design method for transonic turbine cascades based on the Genetic Algorithms coupled to the inviscid flow Euler solver and the boundary-layer *** Genetic Algorithms control the evolution of a population of cascades towards an optimum *** fitness value of each string is evaluated using the flow solver. The design procedur6 has been developed and the behavior of the genetic algorithms has been tested. The objective functions of the design examples are the minimum mean-square deviation between the aimed pressure and computed pressure and the minimum amount of user expertise.

主 题 词：genetic algorithms transonic turbine cascades optimum design 

学科分类：080704[080704] 08[工学] 0807[工学-电子信息类] 

核心收录：

D　O　I：10.1007/s11630-997-0024-3

馆 藏 号：203921493...