MULTI-RESPONSE OPTIMIZATION OF DIELECTRIC FLUID MIXTURE IN EDM USING GREY RELATIONAL ANALYSIS (GRA) IN TAGUCHI METHOD

In the current study, combining powder with dielectric fluid in electrical discharge machining (PMEDM) is a very fascinating technological approach. This approach most effective at increasing both productivity and quality of machined surface same time. The Taguchi–GRA was used to optimize roughness (SR), material removal rate (MRR), micro-hardness (HV) die steels mixed powder. Workpiece materials (with 3 levels such as SKD61, SKD11, SKT4), electrode 2 copper, graphite), pulse-on time, polarity, current, pulse-off titanium concentration were all study. effect on ideal results also evaluated using some interaction pairings among process parameters. Powder concentration, material, Interaction between workpiece obtained be significant condition, where larger MRR HV are wanted (as per HB criterion), but lower values desired for remaining responses, (SR). discovered major component, however, it only accounts 8.35 percent condition. = 54.36 mm3/min, SR 5.65 m, =832.66 best attributes based grey grade.