Prediction of erosion rate by a novel method and parametric optimization of edm of novel sic insulated ceramic reinforced with carbon nano tube

Abstract

In this study, a mathematical model for the multi-optimization of Silicon carbide [SiC] reinforced by Carbon Nano tube [CNT] machined by Electrical discharge machining[EDM] has been done. SiC has an excellent mechanical properties owing to its large use as heat exchangers, sensors and automotive brake discs, etc. All of these applications need a highly precise machined hole with reasonable surface clarity. But due to its high hardness it is impossible to be machined by Conventional mode of machining. As SiC is a highly nonconductive ceramic CNT reinforcement make it possible to machine it by EDM and also increases its mechanical properties. For this study-three different proportion of CNT [2%, 4%, 6%] by Volume has been considered as reinforced material. For selecting the optimal process parameter L9 Taguchi Orthogonal array has been designed for this study by considering different output parameters [i.e CNT Proportion, Current, Voltage & Pulse-On time]. Material removal rate [MRR] and Surface roughness [SR/Ra] has been calculated by conducting the experimentation. The best setting of Process parameters has been predicted by Taguchi Coupled with GREY method. At the optimal condition the deviation in between the experimental result and the predicted result is 4.3% for MRR and 4% for SR respectively. The regression model has been done with R2 and R2adj showing above 90%. ANOVA analysis has been also shows 4% CNT reinforced SiC ceramic can be considered for used in automobile, sensor industries.