Aerodynamic design of transonic fan/compressor by 3D viscous RNS combined with genetic algorithms  

作　　者：姜斌 王松涛 冯国泰 王仲奇 

机构地区：[1]School of Energy Science and Engineering,Harbin Institute of Technology

出　　处：《Journal of Harbin Institute of Technology(New Series)》2011年第2期143-148,共6页哈尔滨工业大学学报（英文版）

基　　金：Sponsored by the Major State Basic Research Development Progrma of China(Grant No. 2007CB210104)

摘　　要：This paper presents an aerodynamic design of a small transonic fan by 3D viscous RNS solver combined with genetic algorithms.The aerodynamic design system based on the 3D viscous RNS solver reduces the dependency on the design experience for designers.Furthermore the optimum with genetic algorithms is an effective method for improving the transonic fan performance as a part of the design system.The design result showed that the transonic fan designed by this method reaches the design requirement even with more efficiency value.This paper presents an aerodynamic design of a small transonic fan by 3D viscous RNS solver com- bined with genetic algorithms. The aerodynamic design system based on the 3D viscous RNS solver reduces the dependency on the design experience for designers. Furthermore the optimum with genetic algorithms is an effective method for improving the transonic fan performance as a part of the design system. The design result showed that the transonic fan designed by this method reaches the design requirement even with more efficiency value.

关 键 词：transonic fan aerodynamic design shock structure genetic algorithm 

分 类 号：TK474.7[动力工程及工程热物理—动力机械及工程]