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Analysis and Optimization of Wire EDM Process of Titanium by Using GRA Methodology

机译:用GRA方法学用钛钢丝EDM过程的分析与优化

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In this research work, an efficient optimization technique, grey relational analysis (GRA) has been used to for optimization of wire electrical discharge machining process of Titanium (grade 2) by considering multiple output parameters. This technique combines Taguchi's orthogonal array with grey relational analysis for the design of the experiment. The central focus of this research is to achieve improved Kerf width, surface roughness and cutting speed. GRA method is implemented to decide the best input parameter that optimizes the output parameters. This study has been conducted by applying Taguchi's L9 orthogonal array. Each experiment has been conducted in altered conditions of input variables. For the optimization of multiple criteria, GRA is suggested as a suitable technique for the optimization of complex interrelationships between multi-performance characteristics. By analysis of variance (ANOVA) it is found that the percentage of contribution of peak current on overall performance is maximum i.e.73.1%.
机译:在本研究工作中,通过考虑多个输出参数,使用了高效的优化技术,灰色关系分析(GRA)来优化钛(2级)的线电放电加工过程。这种技术将Taguchi的正交阵列与灰色关系分析结合了实验的设计。该研究的中心焦点是实现改善的Kerf宽度,表面粗糙度和切割速度。实现GRA方法以确定优化输出参数的最佳输入参数。通过应用Taguchi的L9正交阵列进行了本研究。每个实验都在输入变量的改变条件下进行。为了优化多标准,GRA被建议作为优化多性能特征之间的复杂相互关系的合适技术。通过分析方差(ANOVA),发现峰值电流对整体性能的贡献百分比最大即.73.1%。

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