摘要
对制造铁路道岔用ZGMn13高锰钢这种难加工材料进行了钻削实验,依据多因素正交试验数据样本,通过MATLAB人工神经网络建立了高锰钢钻削力和扭矩的预测模型。在模型中输入刀具直径、进给量和切削速度等参数,可得到相应的钻削轴向力和扭矩。采用该模型能够大量节约实验成本,为高锰钢的钻削机理研究提供新的手段和依据。
The drilling experiments on high manganese steel ZGMn13 used as the railway turnout material which is hard-to-cut material have been carried out.Based on the data sample of the orthogonal test,through MATLAB artificial neural network,a prediction model for the force and torque of high manganese steel drilling has been established.Using this prediction model,only entering the data of tool diameter,feed rate and cutting speed,the corresponding drilling force and torque can be obtained.Using this model can save substantial costs of experiments and provide the basis and new method to the drilling mechanism study of high manganese steel.
出处
《工具技术》
2010年第12期17-20,共4页
Tool Engineering
基金
国家科技重大专项资助项目(2009ZX04001-011)
关键词
人工神经网络
高锰钢
钻削力预测
artificial neural networks
high manganese steel
drilling force prediction
作者简介
许立，教授，大连交通大学机械工程学院，116028，辽宁省大连市
