APPLICATION OF GREY BASED TAGUCHI METHOD IN MULTI-RESPONSE OPTIMIZATION OF TURNING PROCESS.

Metal cutting is one of the most significant manufacturing process in material removal and turning is the most commonly used method for metal cutting. This paper presents the multi-response optimization of CNC turning parameters using grey based Taguchi method. Experiments are designed and conducted based on Taguchi's L27 orthogonal array design. The turning parameters are cutting speed, feedrate, depth of cut and nose radius and the responses are surface roughness and power consumption. Taguchi's signal-to-noise (S/N) ratio are determined based on their performance characteristics. A grey relation grade is obtained by using S/N ratio. Based on grey relational grade value, optimum levels of parameters have been identified by using response table and response graph and the significant contributions of controlling parameters are estimated using analysis of variances (ANOVA). Confirmation test is conducted for the optimal machining parameters to validate the test result. The proposed method is having prediction accuracy and competency. This method may be extended to other machining processes. [ABSTRACT FROM AUTHOR]