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基于神经网络的智能叶片优化设计系统的研究 被引量:3

Investigation on an Intelligent Blade Optimization Design System Based on Neural Network Method
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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。 In order to provide a professional blade design software with easily operauon 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.
机构地区 西北工业大学
出处 《中国机械工程》 EI CAS CSCD 北大核心 2007年第15期1859-1862,共4页 China Mechanical Engineering
基金 国家自然科学基金资助项目(50476071)
关键词 神经网络 叶片 优化设计 软件开发 neural network blade optimization design software development
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