Statistical Optimization by Response Surface Methodology of Process Parameters During the CNC Turning Operation of Hybrid Metal Matrix Composite

Abstract

The demand for new class of specific materials is rising day by day. In this context machining plays an vital role to finish the final product according to required geometry. Lightweight material such as aluminum based metal matrix composites is one of the most suitable material for most of the engineering and structural works. In this research work, an effort is made to optimize the process parameters of 16-TC Botliboi CNC machine to get desired output responses of MRR, surface roughness (SR) and tool flank wear during the processing of previously developed aluminum hybrid composite A359/B4C/Al2O3. Response surface methodology (RSM) has been applied to get the mathematical model of input parameters to get the desired response. The results reveal the optimized value of feed rate, rotational speed and depth of cut to experimentally find the outputs. Further confirmation experiments are performed at optimum level of process parameter.