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基于神经网络的智能叶片优化设计系统的研究
引用本文:靳军,刘波,南向谊,陈云永,项效镕. 基于神经网络的智能叶片优化设计系统的研究[J]. 中国机械工程, 2007, 18(15): 1859-1862
作者姓名:靳军  刘波  南向谊  陈云永  项效镕
作者单位:西北工业大学,西安,710072
摘    要:为给叶轮机械叶片设计人员提供一个操作灵活、专业性强、功能齐全的叶片设计软件,应用神经网络技术开发了一套具有智能化功能的叶片优化设计系统。利用某三级轴流压气机静子叶片2以及某两级风扇压气机转子叶片2的叶片优化改型设计对软件进行了验证,优化设计前后两个叶片流场气动性能的对比分析结果表明,该软件界面友好,功能齐全,具有一定的智能功能,能够满足叶片设计以及优化设计的基本要求。

关 键 词:神经网络  叶片  优化设计  软件开发
文章编号:1004-132X(2007)15-1859-04
修稿时间:2006-06-26

Investigation on an Intelligent Blade Optimization Design System Based on Neural Network Method
Jin Jun,Liu Bo,Nan Xiangyi,Chen Yunyong,Xiang Xiaorong. Investigation on an Intelligent Blade Optimization Design System Based on Neural Network Method[J]. China Mechanical Engineering, 2007, 18(15): 1859-1862
Authors:Jin Jun  Liu Bo  Nan Xiangyi  Chen Yunyong  Xiang Xiaorong
Affiliation:Northwestern Polytechnical University, Xian, 710072
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 stator's 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.
Keywords:neural network   blade   optimization design   software development
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