基于BP网络的中速走丝切割加工参数优选研究

为了提高电火花线切割的工艺精度和加工效率,提出基于BP神经网络的中速走丝二次切割加工参数优选方法。通过对中速走丝两次切割过程进行正交试验,且在二次切割加工参数中加入二次切割的偏移量,进一步分析各因素对加工表面粗糙度和加工速度的影响,得出二次切割的最佳参数组合,最后运用BP神经网络构建加工参数优选模型并对实验结果进行分析。实验结果表明,该方法具有较高的预测精度,能够实现加工参数的优化选择,在实际生产过程中具有重要的参考作用。

Study on the Optimization of Process Parameters of Medium-speed Line Cutter Based on BP Network

In order to improve the process precision and processing efficiency of WEDM,this paper propose an optimization method of twice-cut process parameters in medium-speed line cutter Based on BP neural network.Through the orthogonal test of the mediumspeed line cutting process,and the offset of twice-cut is added to the processing parameters to further analyze the influence of various factors on the surface roughness and processing speed,and the optimal parameter combination of twice-cut was obtained.Finally,the BP neural network is used to construct the model of process prediction to obtain the optimization of processing parameters,and the ex?perimental results are analyzed.The experimental results show that the method has higher prediction accuracy and can optimize the pro?cessing parameters,which has an important reference role in the actual production process.