MULTI - OBJECTIVE OPTIMIZATION OF MRR, Ra AND Rz USING TOPSIS

The multi - criteria decision making methods are very significant in solving the engineering problems which involves in critical decision making situations. In the present work the effect of cutting parameters on the responses was studied using most familiar multi - criteria methods like WSM, WPM and TOPSIS. The experiments were done on CNC lathe using Tungsten carbide tool under dry environment. Cutting parameters of speed, feed and depth of cu t were taken as input parameters and Material Removal Rate (MRR), Arithmetic average Roughness (R a ), Average peak to valley height Roughness (R z ) were considered as the responses. The experiments were conducted as per the taguchi’s standard L9 Orthogonal A rray. From the results of WSM, WPM and TOPSIS it is found that the ninth alternative i.e. speed at 225 m/min, feed at 0.15 mm/rev and depth of cut at 0.4 mm, is the best among all the experiments.