Optimal the Multiple Performances in EDM for SKH57 Using Grey Relational Analysis

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The aim of this investigation is to optimize the multiple performancesof electrical discharge machining (EDM) process for SKH57 using grey relational analysis.Themachining performances namely electrode wear rate (EWR) and surface roughness (SR) were considered as theresponses. Aseries of experiments were conducted according to an L18 orthogonal array based on the Taguchi experimental design method.The main input variables such as machining polarity (P),peak current (Ip), auxiliary current with high voltage (IH), pulse duration (p), no-load voltage (V) and servo reference voltage (Sv) were selected to explore their effects on machining performances for high speed steel (HSS) graded SKH57.Moreover, analysis of variance (ANOVA) was conducted to explore the significant input variables crucially affecting the multiple performances. In addition, the optimal combinations of input variables were also determined from the response graph of grey relational grades. The experimental results confirmed the multiple performances of SKH57 would obviously be improved through optimizing the input variables using grey relational analysis.

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99-105

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January 2015

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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