OPTIMAZATION OF MACHINING PARAMETER OF ALUMINIUM OXIDE AND SILICON CARBIDE COMPOSITMETARIAL BY USING TAGUCHI METHOD

Conventional materials like Steel, Brass, Aluminum etc will fail without any indication. Cracks initiation, propagation will takes place within a short span. Now a day to overcome this problem, conventional materials are replaced by Aluminum alloy materials. Aluminum alloy materials found to the best alternative with its unique capacity of designing the materials to give required properties. Aluminum matrix composites are wide ranging applications in automobile, aerospace and military industries because of their attractive properties such as high strength to weight ratio, high wear resistance, high temperature stability, etc Though most engineering components Aluminum matrix particulate composites are primarily manufactured in near net shape, machining of Metal matrix composites (MMCs) have joined the group of difficult-to-cut materials because of the inherent abrasiveness of ceramic reinforcements. The main objective of this paper is to study of Machining Parameter and Surface roughness of Aluminum oxide and Silicon Carbide (Al2O3&SiC) is investigated. Optimum machining condition for maximizing metal removal rate and minimizing the surface roughness is determined using taguchimethod .This paper attempts to establish a comprehensive mathematical model for correlating the interactive and higher-order influences of various machining parameters using Taguchi method with an L 27 fractional factorial design were selected for the present experiment to obtain the optimal settings of factors and study their effects on multiple performance characteristics. Analysis of variance (ANOVA) has been performed to verify the fit and adequacy of the developed mathematical models