基于BP神经网络的电火花线切割加工参数优化研究

Processing Parameters Optimization Research of WEDM based on BP Neural Network

基于BP神经网络的电火花线切割加工参数优化研究,因为其适用性强和准确性高等特点得到了越来越广泛的应用,具体过程和方法是先通过在DK7725线切割机床上进行大量的加工实验,用正交法采集加工数据并保存建立数据库,然后在实验数据基础上以BP神经网络方法分别构建了系统的工艺效果预测和加工参数优选模型,接着应用MATLAB软件进行编程,实现电火花线切割加工参数的优化选择,最后对程序运行结果进行分析,得出了BP神经网络可应用于电火花线切割加工参数优化选择的结论。

The wedm processing parameters optimization research Based on BP neural network has been more and more widely used because of its applicability and high accuracy, the specific process is to pass on the DK7725 wedrn processing ex- periment, use the orthogonal method processing data and save the established database, and then on the basis of the experi- mental data by BP neural network method, respectively, build the system prediction and the effect of technology processing parameter optimization model, using Matlab software programming to realize the optimal selection of wedrn processing pa rameters. Finally analyze the results of the program, it is concluded that the BP neural network can be applied to the conclu sion of wedrn processing parameters optimization.