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径向基神经网络在三维激光切割中的应用
引用本文:吴艳华,张永强,陈武柱,张旭东,阎启.径向基神经网络在三维激光切割中的应用[J].中国机械工程,2006,17(12):1234-1237.
作者姓名:吴艳华  张永强  陈武柱  张旭东  阎启
作者单位:1. 清华大学,北京,100084
2. 宝山钢铁股份有限公司,上海,201900
摘    要:分析了RBF神经网络的特点,并研究了它在三维激光切割中的应用,利用该神经网络及其变形可以预测切缝的宽度,也可以根据输入参数对试样的挂渣与否进行判定。比较了三雏激光切割中切割倾角和切割方向对切割质量的影响,从而实现切割质量的预测和优化工艺参数的选取以指导实际的切割过程。

关 键 词:激光  三维切割  径向基函数  RBF神经网络
文章编号:1004-132X(2006)12-1234-04
收稿时间:2005-06-30
修稿时间:2005-06-30

Application of RBF Neural Network in Three Dimensional Laser Cutting
Wu Yanhua,Zhang Yongqiang,Chen Wuzhu,Zhang Xudong,Yan Qi.Application of RBF Neural Network in Three Dimensional Laser Cutting[J].China Mechanical Engineering,2006,17(12):1234-1237.
Authors:Wu Yanhua  Zhang Yongqiang  Chen Wuzhu  Zhang Xudong  Yan Qi
Affiliation:1. Tsinghua University, Beijing, 100084; 2. Baoshan Iron and Steel Corporation, Shanghai, 201900
Abstract:The application of radial basis function(RBF) neural network in three dimensional laser cutting was investigated.RBF neural network is competent for both the prediction of the kerf width and the judgment of the dross condition.Based on the RBF neural network model,the effect of laser beam attitude,including cutting obliquity and cutting direction,on the quality of three dimensional laser cutting was also studied.The method can be used to predict the cutting quality and optimize processing parameters in three-dimensional laser cutting process.
Keywords:laser  three-dimensional cutting  radial basis function(RBF)  RBF neural network
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