基于微磨料水射流的刀具钝化模型研究  

Research on model of tool edge preparation based on micro abrasive water jet

作　　者：万庆丰[1] 雷玉勇[1] 刘克福[1] 陈忠敏[1] 潘峥正[1] 

机构地区：[1]西华大学机械工程与自动化学院,成都610039

出　　处：《现代制造工程》2013年第9期95-99,共5页Modern Manufacturing Engineering

基　　金：四川省科技厅资助项目(2011JYZ017);西华大学研究生创新基金资助项目(ycjj201340)

摘　　要：应用微磨料水射流技术对刀具钝化进行研究,验证了微磨料水射流用于刀具钝化的可行性,应用MikroCAD三维光学刀具测量仪获得刀具切削刃的钝化圆角半径以及微观结构,发现刀具切削刃上不同截面的钝化圆角分布不均匀。基于人工神经网络方法,建立微磨料水射流刀具钝化圆角半径的BP神经网络模型。研究结果表明,BP神经网络能够有效地预测刀具钝化圆角半径,预测值与试验测量值的相对误差为0.63%～4.60%。The research on tool edge preparation using micro abrasive water jet was carried out. It is showed that preparation of tool edge based on micro abrasive water jet is practicable. The radius of cutting edge roundness and the microstructure were ob- tained using MikroCAD optical 3D measurement system. The experimental results show that the roundness radius is uneven along the tool edge. Based on the method of artificial neural network, a back propagation neural network model for tool edge preparation process with micro abrasive water jet was established. The result indicates that the roundness radius of tool cutting edge can be well predicted by BP neural network. The relative error between the predicted value and experimental measurements is from O. 63% to 4.60%.

关 键 词：微磨料水射流 刀具钝化 圆角半径 BP神经网络 

分 类 号：TH16[机械工程—机械制造及自动化] TP69[自动化与计算机技术—控制理论与控制工程]