OPTIMIZATION OF HARD TURNING PROCESS PARAMETERS WITH PCBN TOOL BASED ON THE TAGUCHI METHOD

In this paper, the Taguchi method is applied to find optimum process parameters for hard turning of hardened steel AISI 4142 using PCBN tool. Orthogonal design (L9 (3(4))), signal-to-noise ratio (S/N) and analysis of variance (ANOVA) are applied to study performance characteristics of cutting parameters (cutting speed, feed and depth of cut) with consideration of surface roughness. Significant factors affecting surface roughness were identified, and the optimal cutting combination was determined by seeking the best surface roughness (response) and signal-to-noise ratio. Using multiple regression the exponential, first order linear and second order prediction models were obtained to find the correlation between surface roughness and independent variables. Finally, confirmation tests verified that the Taguchi design was successful in optimizing turning parameters for surface roughness.