engleski

MULTI-RESPONSE OPTIMIZATION OF TURNING PARAMETERS USING THE GREY-BASED TAGUCHI METHOD

Optimization of machining processes is essential for achieving of higher productivity and high quality products in order to remain competitive. This study investigates multi-response optimization of turning process for an optimal parametric combination to provide the minimum surface roughness (Ra) with the maximum material-removal rate (MRR) using a Grey–Based Taguchi method. Turning parameters considered are cutting speed, feed rate and depth of cut. Nine experimental runs based on Taguchi’s L9 (34) orthogonal array were performed followed by Grey relational analysis to solve the multi-response optimization problem. Based on grey relational grade value, optimum levels of parameters have been identified. The significance of parameters on overall quality characteristics of the cutting process has been evaluated by the analysis of variance (ANOVA). The optimal parameter values obtained during the study have been validated by confirmation experiment.

Grey Relational analysis; Taguchi method; Multi-response optimization

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