Abstract
Recently, Aluminum and its alloys have been receiving major attention as matrix materials because of their excellent properties such as light density, good strength, stiffness, wear resistance and improved thermal, electrical properties, and importantly high strength to weight ratio. The mechanical characterization and optimization of machining parameters of any materials are the crucial things in many engineering applications. In this context, the study is made on the behavior of cutting parameters of Aluminum based composite materials (Al-B4C). The present investigation concentrates on optimization of the cutting parameters for improving machinability of Aluminum Alloy (AA1100) Boron Carbide (B4C) composites by considering surface roughness and cutting forces as response variables. Taguchi’s method is employed to determine optimum process parameters for dry turning of AA1100-B4C. L9 orthogonal array is employed for the experimental design. Finally Analysis of Variance (ANOVA) is performed to know the impact of individual factors on surface roughness and cutting forces. Results obtained by Taguchi method and ANOVA closely match. It is observed that reinforcement percentage by weight and cutting speed are most influencing parameters. Multiple regression equations are formulated for estimating predicted values of surface roughness and cutting forces.
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