Parametric Optimization of Surface Roughness and MRR on HPMMC using Taguchi Method in CNC Turning Process

The presence of the graphite in ceramic (SiCp) reinforced Aluminum Metal Matrix Composites gives the better machining performance on machining process. Due to formation of the Tribologicallayers it will tends to improvements in the machining normally. In the manufacturing fields they need most pr?cised machining operations which lead to produce good quality products at optimal conditions. The applications of the composites are increasing rapidly day to day in the field of engineering with their specific features, and these composites are required most precise machining operations due to their processing cost and applications. This paper presents that the fabrication of the Hybrid Particulate Aluminum Metal Matrix Composite (HPMMC) in the Sand Casting Process and the results of experimental study on Machinability properties of Hybrid Particulate Metal Matrix Composite (Al-SiCp-Gr). The influence of reinforced ratios of 10 & 15 weight percentage of (SiCp and Gr) Silicon Carbide and Graphite particles was examined. The effect of control factors of turning process like Speed, Feed rate, and Depth of Cut on resultant surface roughness and Material Removal Rate of work pieces was studied. The resulted output values were analyzed and optimized through the Taguchi; ANOVA and S/N ratio techniques. It was observed that the increment of graphite reinforcement with addition of SiCP will improves the MRR with good surface finish. The surface roughness is depended on the Speed and Feed rates of cutting process majorly. The MRR is majorly depended on the Speed and DOC of Cutting process.