Optimizing Machining Parameters for Surface Roughness and Metal Removal Rate While Turning of Aluminium Based Metal matrix Composite

Abstract

Nowadays demand of lightweight materials is increasing tremendously and aluminum based metal matrix composite (MMC) plays important role to fulfill such demands due to characteristics like lightweight and high strength. This work is intended to investigate the effect of the variables like speed, feed and depth of cut, on surface roughness and MRR. This work is carried out on Aluminum based MMC with 10% of boron carbide (B4C). Taguchi’s L27 orthogonal array is used for experimentation. The effect of input parameters is evaluated using signal to noise (S/N) ratio analysis. The Optimum parameters which give minimum surface roughness (Ra) and maximum MRR are obtained. The experimental results showed depth of cut as a prominent factor followed by feed and cutting speed for surface roughness and cutting speed observed as most influencing factor for metal removal rate (MRR).