摘要
以提高切削效率为目的,对数控加工中的切削用量进行智能化选择。首先建立BP网络模型,并确立了以刀具材料、加工工件材料以及刀具几何尺寸为输入层,铣削用量为输出层;然后对BP网络进行设计,确定隐含层和隐含层单元数目,并按照实际生产中所采集的随机的切削用量数据训练BP网络;最后对智能化选择的切削用量参数进行仿真、验证。将选取出的切削用量应用于实际生产,效果良好。
To improve the cutting efficiency,the paper studied the intelligent selection of cutting parameters in NC machining.First,it set up a BP network model taking the tool material,workpiece material and tool geometry as the inputs,and the milling parameters as outputs.Second,it designed the hidden layer and determined the number of hidden layer units,and trained the BP network with the cutting parameters collected in actual production.Finally,a simulation processing was carried out by use of the cutting parameters selected by BP network,to verify the feasibility of the BP network,and the result was satisfied.
出处
《机械工程与自动化》
2010年第5期105-107,共3页
Mechanical Engineering & Automation
关键词
神经网络
切削参数
数控加工
neural network
cutting parameters
NC machining
