Abstract: In view of the green,precise and high-efficient development requirements of Wire cut Electric Discharge Machining (WEDM),a modeling and multi-objective optimization method for machining energy consumption and machining performance in WEDM was proposed.Aiming at the GH4169 super alloy material of WEDM,the orthogonal experimental design was carried out.By taking pulse width,discharge gap,tube number and machining speed limit as process parameters,and processing energy consumption(EEV),surface roughness (Ra) and Material Removal Rate (MRR) as performance responses,a multi-objective optimization model of WEDM based on response surface method was established,and an improved wolf algorithm was used to solve the optimization model.The comparison between the optimization results and the experimental results showed that the average errors of Ra,EEV and MRR were not higher than 10%,and the random optimization experimental results were better than the experimental design experimental results of more than 75%,which verified the effectiveness of the optimization model and solution method.

Key words: green manufacturing, wire cut electric discharge machining, energy consumption, response surface method, wolf algorithm

摘要： 结合电火花线切割加工绿色、精密、高效的发展趋势,提出面向加工性能与放电能耗的电火花线切割加工工艺建模与多目标优化方法。针对电火花线切割加工GH4169高温合金材料开展正交试验设计,以脉冲宽度、放电间隙、管数、加工限速为输入,以放电能耗EEV、表面粗糙度Ra和材料去除率MRR为输出,构建了电火花线切割加工性能与放电能耗多目标优化响应面模型,并采用改进的狼群算法对模型进行优化求解。优化结果与实验结果对比表明,Ra、EEV和MRR的平均误差均不高于10%,且随机优化实验结果优于75%以上的正交试验设计的实验结果,验证了优化模型及求解方法的有效性。

关键词: 绿色制造, 电火花线切割加工, 放电能耗, 响应面法, 狼群算法