OPTIMIZATION OF MACHINING PARAMETER FOR TURNING OF EN 16 STEEL USING GREY BASED TAGUCHI METHOD

This paper presents the optimization of CNC turning parameters for EN 16 steel bar using the Grey Taguchi Method. A plan of experiments based on Taguchi’s L27 orthogonal array was established and turning experiments were conducted with prefixed cutting parameters for EN 16 steel bar using tungsten carbide tool. The turning parameters are cutting speed, feed rate and depth of cut and the responses are surface finish and material removal rate. Taguchi’s signal-tonoise (S/N) ratio are determined based on their performance characteristics. A grey relational 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).

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