Optimization of Machining Parameters on Surface RoughnessUsing Taguchi Technique and ANOVA

Abstract

Surface roughness is the extremely specified requirement in a machining process. For effectual use of machine tools, optimum cutting parameters are essential. Therefore, it is required to find the optimum values of cutting parameters for minimizing surface roughness. In this paper, a bestir has been made to optimize the process parameters using Taguchi technique and ANOVA to study the factors influencing surface roughness. The experiments were conducted on austempered steel when coolant is off and on. The major impacts on the surface roughness in turning process such as spindle speed, feed rate and depth of cut were considered as inputs and surface roughness as output by some of the machining variables. Micrographic analysis is performed to study the effect of parameters on roughness of machined surface. The results were compared when coolant is off and on.