Abstract:
In this work, the Taguchi method is used to optimize the Material Removal Rate and Surface Roughness in Turning Operation of 20IVInCr5 alloy steel using Tungsten Carbide inserts. Three process parameters namely, cutting speed, feed rate, and depth of cut, have been selected for investigation. Experiments were conducted on the basis of Taguchi's L9 orthogonal array and MINITAB17 software was used to obtain the design matrix and then carry out analysis.The Signal to noise ratio (SNR) is applied to optimize the effects of the selected process parameters on MRR, surface roughness. Feed rate has maximum influence on MRR followed by depth of cut and speed. Depth of cut, speed and feed rate affect the surface finish in decreasing order. The optimal levels of process parameters for simultaneous optimization of MRR and Surface roughness have been identified. Optimal results were verified through confirmation experiments