Multi-response Optimization of Machining Parameters of Turning AA6063 T6 Aluminium Alloy using Grey Relational Analysis in Taguchi Method

This paper presents a novel approach for the optimization of machining parameters on turning of AA 6063 T6 aluminium alloy with multiple responses based on orthogonal array with grey relational analysis. Experiments are conducted on AA 6063 T6 aluminium alloy. Turning tests are carried out using uncoated carbide insert under dry cutting condition. In the present work, turning parameters such as cutting speed, feed rate and depth of cut are optimized considering the multiple responses such as surface roughness (Ra), roundness (Ø) and material removal rate (MRR). A grey relational grade(GRG) is determined from the grey analysis. Optimum levels of parameters have been identified based on the values of grey relational grade and then the significant contribution of parameters is determined by ANOVA. To validate the test result, confirmation test is performed. Experimental outcomes have proved that the responses in turning process can be enhanced efficiently through this fresh approach.