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Aerodynamic design of transonic fan/compressor by 3D viscous RNS combined with genetic algorithms
Authors:JiangBin  WANG Song-tao  FENG Guo-tai  WANG Zhong-qi
Affiliation:School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
Abstract: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.
Keywords:transonic fan  aerodynamic design  shock structure  genetic algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
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