Multi Responses Optimization of Wire Electrical Discharge Machining (WEDM) Parameters of Tool Steel Using Grey Relation Analysis

Huda Anwar, S. K. Shather, Waqass Khudhir
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Abstract

The aim of this work is to study the effects of several wire electrical discharge machining (WEDM) process parameters, such as the servo voltage (SV), the pulse on time (TON), and the pulse off time (TOFF) on the surface finish (SR) and the kerf width (KW) of stainless steel 304 as a workpiece material. A multi-responses optimization approach based on Grey relational analysis has been designed, and it was discovered that the main affecting factor is the pulse on time followed by the servo voltage. According to the data, the grey relation analysis (GRA) grade for the second trial, including (a servo voltage of 14V, a pulse on time of 100µs, and a pulse off time of 45µs), was the optimum combination of settings that may concurrently optimize all of the specified response qualities. By utilizing the regression analysis, the mathematical equations illustrating the link between the input parameters and the responses have been established. In particular, the findings of this article will assist manufacturing engineers in selecting an optimal set of process parameters for machining stainless steel (SS304) grade.
利用灰色关系分析法对工具钢线材放电加工 (WEDM) 参数进行多响应优化
这项工作的目的是研究伺服电压 (SV)、脉冲开启时间 (TON) 和脉冲关闭时间 (TOFF) 等若干线材放电加工 (WEDM) 工艺参数对工件材料不锈钢 304 的表面光洁度 (SR) 和切口宽度 (KW) 的影响。设计了一种基于灰色关系分析的多响应优化方法,发现主要影响因素是脉冲开启时间,其次是伺服电压。根据数据,第二次试验的灰色关系分析(GRA)等级(伺服电压 14V、脉冲开启时间 100µs 和脉冲关闭时间 45µs)是同时优化所有指定响应质量的最佳设置组合。通过利用回归分析,建立了说明输入参数与响应之间联系的数学方程。特别是,本文的研究结果将有助于制造工程师选择加工不锈钢(SS304)等级的最佳工艺参数集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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