Determining the Effect of Cutting Parameters on Surface Roughness in Turning Process Using the Taguchi Method

Abstract

This study focuses on optimizing turning parameters based on the Taguchi method to minimize surface roughness (Ra). Experiments have been conducted using the L9 orthogonal array in a CNC turning machine. Turning tests are carried out on aluminium alloy AISI 1061 with carbide cutting tools. Each experiment is repeated two times and each test uses a new cutting insert to ensure accurate readings of the surface roughness. The statistical methods of signal to noise ratio (SNR) are applied to investigate effects of cutting speed, feed rate and depth of cut on surface roughness. Results of this study indicate that the feed rate has the most significant effect on Ra. The developed model can be used in the metal machining industries in order to determine the optimum cutting parameters for minimum surface roughness.