Investigation on an intelligent blade optimization design system based on neural network method

Jun Jin, Bo Liu, Xiangyi Nan, Yunyong Chen, Xiaorong Xiang

Research output: Contribution to journalArticlepeer-review

Abstract

In order to provide a professional blade design software with easily operation and perfect function for those turbomachinery blade designers, one set of blade optimization design system with some intelligent capability was developed by applying advanced artificial neural network method. The second stators optimization reshape of a three stages axial compressor and the second rotor's optimization reshape of a two stages fan compressor were used to validate this software system. The comparison analysis result of aero-dynamical performance between the two original blades and the two optimized blades shows that this software has friendly interface and strong function and some intelligence, which can meet all of basic requirements for blade design and blade optimization design.

Original languageEnglish
Pages (from-to)1859-1862
Number of pages4
JournalZhongguo Jixie Gongcheng/China Mechanical Engineering
Volume18
Issue number15
StatePublished - 10 Aug 2007

Keywords

  • Blade
  • Neural network
  • Optimization design
  • Software development

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