Multi-Objective Optimization of High Speed Turning Parameters of Hybrid Aluminium Matrix Composite Reinforced with Silicon Carbide and Coconut Shell Ash

In any machining process, the vital part is determination of optimum values for the process parameters for attaining the highest desired quality at lower machining cost. This paper mainly focuses on machining parameters optimization in turning operation of hybrid aluminum metal matrix (LM24-SiCp-coconut shell ash) composite through Taguchi based grey relational analysis. All composite samples for the study were prepared by optimal squeeze casting parametric condition and the experimental trials were selected based on L9 (3)4 orthogonal array. The main response considered in this study were surface roughness (SR) and material removal rate (MRR) and machining parameters such as cutting speed, feed rate, depth of cut and tool nose radius were chosen. The optimum machining conditions were obtained through Taguchi based grey relational analysis (GRA) and checked through the confirmation experiments. The machining parameters were cutting speed (51.31%) and feed rate (23.45%) most significant factors which affect the output response. The confirmation experiment results at optimal parameter combination show that the SR was reduced from 0.45 to 0.39 mu m and the MRR was improved from 1.73 g/min to 2.12 g/min. The grey relational grade from the measured performance measures based on the confirmation experiment was found to be 0.7887. It was also observe that, surface roughness of the turned surface was decreased in 13.33% and material removal rate was increased in 22.54% with the Taguchi based GRA optimum setting conditions.