基于响应面与狼群算法的电火花线切割加工性能与放电能耗建模及优化  

Modeling and optimization for machinability and energy consumption in WEDM based on response surface method and wolf algorithm

作　　者：马军 叶红伟 袁杰 李晓科 曹阳 明五一[1] MA Jun;YE Hongwei;YUAN Jie;LI Xiaoke;CAO Yang;MING Wuyi(Henan Provincial Key Laboratory of Intelligent Manufacturing of Mechanical Equipment,Zhengzhou University of Light Industry,Zhengzhou 450002,China)

机构地区：[1]郑州轻工业大学河南省机械装备智能制造重点实验室,河南郑州450002

出　　处：《计算机集成制造系统》2024年第4期1324-1334,共11页Computer Integrated Manufacturing Systems

基　　金：国家自然科学基金资助项目(51905492);河南省高等学校青年骨干教师资助计划资助项目(2021GGJS090);河南省重点研发与推广专项(科技攻关)资助项目(232102220099,242102220011)。

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。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.

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 

分 类 号：TH16[机械工程—机械制造及自动化]