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基于NURBS的叶片优化设计研究 被引量:1

Research on the Blade Optimization Design Based on NURBS
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摘要 采用NURBS技术构造叶片几何模型,将叶片气动性能参数与几何模型控制相关联,引入人工神经网络对NURBS的控制权因子进行调节,使叶片几何模型与气动性能更好地匹配。通过具体实例的应用验证,表明该优化设计方法为叶片优化设计提供了一条新途径,有一定的应用前景。 The non-uniform relational B-spline(NURBS) technique was adopted to construct a geometrical model of a blade, the control of. which was inter-related with the aero-dynamic parameters of the blade. Artificial neural network was introduced to regulate the factors of the NURBS control and to match the geometrical model with its aero-dynamic performance. An application instance shows that this optimization design provides a new approach for blade optimization.
出处 《机械科学与技术》 CSCD 北大核心 2006年第7期844-847,共4页 Mechanical Science and Technology for Aerospace Engineering
基金 国家自然科学基金项目(50476071)资助
关键词 NURBS 叶片 优化 NURBS blade optimization
作者简介 刘波(1960-),男(汉),陕西,教授,博士生导师
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