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

被引：0
作者：
Ma J. [1 ]
Ye H. [1 ]
Yuan J. [1 ]
Li X. [1 ]
Cao Y. [1 ]
Ming W. [1 ]
机构：
[1] Henan Provincial Key Laboratory of Intelligent Manufacturing of Mechanical Equipment, Zhengzhou University of Light Industry, Zhengzhou
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2024年 / 30卷 / 04期
基金：
中国国家自然科学基金;
关键词：
energy consumption; green manufacturing; response surface method; wire cut electric discharge machining; wolf algorithm;
D O I：
10.13196/j.cims.2021.0719
中图分类号：
学科分类号：
摘要：
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 GH1 169 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. © 2024 CIMS. All rights reserved.
引用
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页码：1324 / 1334
页数：10
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