A Category Based Multifaceted Jaya Optimization Methodology: Optimizing Surface Quality in EDM Drilling of MoSi2-SiC Composite with Morphological Studies
摘要
MoSi2-SiC composite has extensive applications due to its exceptional strength, hardness and creep resistance. These properties make the processing of these ceramics very difficult and this article presents electrical discharge machining (EDM) as a viable alternative for machining of such low conducting ceramics. The various parameters affecting the removal mechanism are speed, dielectric pressure, spark gap voltage, current and pulse on/off time. Material removal rate, electrode wear rate, surface roughness, radial over cut, taper angle, circularity, cylindricality, perpendicularity and run out are the performance characteristics that are evaluated. The responses are firstly preliminarily analyzed using multiple regression and main effects analysis. Multi objective Jaya algorithm is used to optimize the process and the outcomes are experimentally validated and the results are presented. The best solution from the Pareto front is identified from the entire solution set. Productivity index of 0.708, dimensional deviation index of 0.645 and surface roughness of 0.486 are the most optimized values that are obtained at settings of Current 3A, Pulse on time – 7.094 µs, Pulse off time – 3 µs, dielectric pressure – 19 kg/cm2, voltage – 3.061 V and speed – 5.568 m/s. The machined surface and the tool deformities are observed using electron microscopy. Various deformities and surface alterations as a result of the high temperature sparks are reported.