In this study, an attempt has been taken to find out the appropriate optimal parameter setting that will provide the best quality product depending on experimental data during Electro Discharge Machining (EDM) of Titanium grade 6 alloy with the help of brass electrode and to compare the optimized results achieved from two optimization techniques. For this study, Face Centered Central Composite Design- (FCCCD) based Response Surface Methodology (RSM) coupled with Technique for order of preference by similarity to ideal solution (TOPSIS) and Grey Relational Analysis (GRA) has been applied to optimize the process parameters i.e. gap voltage (Vg), peak current (IP), pulse on time (Ton), and duty cycle (Γ). Radial overcut (ROC), surface roughness (Ra), material removal rate (MRR) and tool wear rate (TWR) are selected as output performance characteristics. To find out the significant process parameters, Analysis of variance (ANOVA) test has been performed at 95% confidence level. For validation of the study, confirmation experiments have been performed at optimal parameters setting which show the enhancement of Relative Closeness Coefficient (Siw) up to 0.144082 using TOPSIS and Grey Relational Grade (GRG) up to 0.198014 using GRA, respectively.

中文翻译：

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基于 RSM 的 GRA 和 TOPSIS 方法对 6 级钛合金的 EDM 工艺参数进行多目标优化

在这项研究中，我们试图根据在黄铜电极的帮助下对钛 6 级合金进行电火花加工 (EDM) 期间的实验数据来找出合适的最佳参数设置，以提供最优质的产品，并比较通过两种优化技术获得的优化结果。在这项研究中，基于面心中心复合设计 (FCCCD) 的响应面方法 (RSM) 以及通过与理想解相似度优先排序的技术 (TOPSIS) 和灰色关系分析 (GRA) 已应用于优化工艺参数即间隙电压（五G), 峰值电流 (一世磷), 脉冲准时 (吨在), 和占空比 (Γ）。径向过切 (ROC)，表面粗糙度 (R一种)，材料去除率（MRR）和刀具磨损率（TWR）被选为输出性能特征。为了找出重要的工艺参数，已在 95% 的置信水平下进行了方差分析 (ANOVA) 测试。为了验证该研究，已在最佳参数设置下进行了确认实验，这表明相对接近系数（小号一世w)使用 TOPSIS 和灰色关系等级 (GRG) 最高可达 0.144082，使用 GRA 最高可达 0.198014。