摘要
慢走丝电火花线切割中工艺指标与工艺参数之间具有高度非线性关系,难以实现电火花多工艺参数优化,针对此问题,以电火花线切割SKD11模具钢为试验对象,选用水压、脉冲宽度、脉冲间隔、峰值电流和进给速度为可变因素,表面粗糙度(Ra)和材料去除率(MRR)为工艺指标,设计田口试验,采用灰色关联分析方法研究加工参数对工艺指标的影响关系;建立改进的灰色神经网络模型对Ra和MRR预测,其平均相对误差分别为7.92%和8.13%。结果表明,该模型能反映出电火花线切割SKD11模具钢的工艺规律并能成功预测出Ra和MRR,为电火花线切割SKD11模具钢工艺参数的选择提供了依据。寻找的一组优化参数对SKD11模具钢的线切割加工具有一定的参考意义。
For highly nonlinear relationship between LS-WEDM（low speed wire electrical discharge machining）cutting process indicators and process parameters,it is difficult to achieve optimization of processing parameters.For this problem,taking SKD11 die steel as a test object,a Taguchi experiment was designed with water pressure,pulse-on time,pulse-off time,peak current and the feed rate as variable factors,the surface roughness（Ra） and the material removal rate（MRR） for processing indicators,utilizing gray analysis method to analyze the effect of processing parameters on the process indicators; secondly to establish an improved gray neural network model for predicting Ra and MRR,the average relative error are of 7.92% and 8.13%,indicating that the present model can be mapped WEDM cutting process of law SKD11 die steel and can successfully predict the Ra and MRR. It provides an evidence for selecting the process parameters to cut SKD11 die steel via WEDM. Looking for a set of optimal parameters has a certain reference value for WEDM SKD11 die steel.
出处
《机械科学与技术》
CSCD
北大核心
2017年第1期58-67,共10页
Mechanical Science and Technology for Aerospace Engineering
基金
国家自然科学基金项目(51175207)资助
