OPTIMIZATION OF CUTTING PARAMETERS FOR IMPROVING SURFACE ROUGHNESS IN TURNING OPERATION USING TAGUCHI METHOD AND ANOVA

Abstract

In the modern high-tech world the accuracy and finishing of a job are very important. In the present study the control parameters of a cast iron specimen undergoing turning operation are optimized so as to obtain minimum surface roughness. The parameters most responsible for surface roughness are identified and their working ranges are set. These parameters are spindle speed, feed rate and depth of cut. Experiments are conducted using parameter combinations obtained by Taguchi's L-9 orthogonal array and corresponding surface roughness are noted. S/N ratio calculations are done to find the significance order of the control parameters. Next analysis of variance (ANOVA) verifies the working ranges of the control parameters and their order of significance.