灰色理论在慢走丝线切割加工中的应用

发布时间：2018-03-16 19:32

本文选题：慢走丝线切割　切入点：工艺参数优化　出处：《机械科学与技术》2017年01期 　论文类型：期刊论文

【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。
[Abstract]:There is a highly nonlinear relationship between the process parameters and the process parameters in WEDM, so it is difficult to optimize the multi-process parameters of EDM. In order to solve this problem, the SKD11 die steel for WEDM is used as the test object and the water pressure is selected. The parameters of pulse width, pulse interval, peak current and feed speed, surface roughness Raand material removal rate (MRR) are variable factors to design Taguchi test. The influence of processing parameters on process parameters was studied by grey correlation analysis, and the average relative errors of Ra and MRR were 7.92% and 8.13, respectively, and the improved grey neural network model was established to predict Ra and MRR, respectively. The results show that the average relative errors of Ra and MRR are 7.92% and 8.13 respectively. The model can reflect the process law of WEDM SKD11 die steel and can successfully predict Ra and MRR, which provides a basis for the selection of process parameters of WEDM SKD11 die steel. A set of optimized parameters for SKD11 die steel is found. It has certain reference significance for WEDM.
【作者单位】：华中科技大学机械科学与工程学院;广东省制造装备数字化重点实验室;
【基金】：国家自然科学基金项目(51175207)资助
【分类号】：TG48

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