earticle

영어

Multi-criteria(or) attribute decision making (MCDM/MADM) methods have very high applications inindustriesforsolving real world engineering problems. In the present work, MCDM methods of Weighted summethod (WSM), Weighted ProductMethod (WPM) and TOPSIS, have been employed for the computational analysis of multi-responses. AA7075 has been taken as work piece for the experimentation and the experiments were done on CNC lathe as per the Taguchi’s standard L9 Orthogonal Array. The cutting parameters of speed, feed and depth of cut were taken as experimental inputs and Material Removal Rate (MRR) and Surface Roughness (Ra) were considered as responses. From the Weighted sum method (WSM) and Weighted ProductMethod (WPM) the optimal combination for multi-responses werefound at ninth alternative,i.e. speed: 2000 rpm, feed: 0.4 mm/rev and depth of cut: 0.75 mm. Similarly, from the TOPSIS results, the optimal combination for multi-responses werefound at seventh alternative,i.e. speed: 2000 rpm, feed: 0.2 mm/rev and depth of cut: 1 mm. Analysis of variance (ANOVA) has been done by using MINITAB-16 statistical software to find the influence of cutting parameters on the multi-responses. From the ANOVA results of WSM, WPM and relative closeness coefficient (Ci+), it is found that feed rate has high influence (For WSM, WPM and Ci+the F values are 60.50, 60.30 and 91.42 respectively) in affecting the multi-responses.