MULTI RESPONSE OPTIMIZATION OF PROCESS PARAMETERS IN ELECTRICAL DISCHARGE MACHINING IN AISI D2 TOOL STEEL USING GREY RELATIONAL ANALYSIS
Keywords:
EDM, Electrode wear, Grey Relational AnalysisAbstract
Electrical discharge machining (EDM) is a well-established machining option for manufacturing geometrically complex or hard material parts that are extremely difficult-to-machine by conventional machining processes. In this research work to study the effect of process parameter Current(Ip), Pulse ON-time(Ton), Pulse Off-time(Toff), and constant Gap Voltage (V) on metal removal rate(MRR), electrode wear rate (EWR) and surface roughness on machining of AISI D2 tool steel. The L9 orthogonal array for the three machining parameters at three levels each based on the Taguchi experimental method was adopted to determine EDM machining characteristics. The experiments were performed in a random order, Analysis of variance (ANOVA) was performed and a grey relational grade obtained from the grey relational analysis is used to solve the EDM process with the optimal levels for the multiple performance characteristics responses were established. Experimental results have shown that machining performance in the EDM process can be improved effectively through this approach
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