Taguchi based grey relational analysis for multi-objective optimization of cutting parameters in hard turning

In this paper, the combination between Taguchi method and grey relational analysis was applied as a key solution for multi objective optimization problem in turning of hard metal. The variable were; cutting speed, feed rate, depth of cut, and tool nose radius. These parameters were optimized with respect to surface roughness and metal removal rate. The surface roughness was to be minimized; on the other hand the metal removal rate is to be maximized. This problem was solved by converting the multi objective optimization to single objective optimization by applying the grey relational grade analysis. L16 Taguchi orthogonal array is used in this paper. The confirmation results show that the grey relational grade analysis is an effective tool to improve the multi quality objective process.