Multi Criteria Selection of Optimal Machining Parameter in Turning Operation Using Comprehensive Grey Complex Proportional Assessment Method for ASTM A36

Turning is one amongst the most adequate and cost-effective method in manufacturing environment. To meet the difficulties of extensive competitiveness in manufacturing industry the issues of selecting best preferable methodologies, design of process, machine and equipment becomes more mind boggling as there are lots of options in view of conflicting criteria. To help these selection processes, different Multi Criterion Decision-Making (MCDM) techniques are currently accessible. In this paper, MCDM technique was performed considering hybrid approach comprehensive grey complex proportional assessment (COPRAS-G) to identify optimal parameters for important multi-performance criteria like Surface roughness, power consumption and frequency of tool vibration. The important process parameters used during turning of ASTM A36 mild steel were depth of cut, spindle speed and feed using full factorial Taguchi’s design of experiment. Finally, optimal settings of input process parameters were found as speed: 160 r.p.m., depth of cut: 0.1 mm. and feed rate: 0.08 mm/rev. This study aimed to focus the applicability of COPRAS-G as a strategic decision making tool to handle multi objective optimization problem for tuning operation.

[1]  Deng Ju-Long,et al.  Control problems of grey systems , 1982 .

[2]  Devinder Priyadarshi,et al.  Optimization for Turning of Al-6061-SiC-Gr Hybrid Nanocomposites Using Response Surface Methodologies , 2016 .

[3]  Abhijit Saha,et al.  Optimization of machining parameters of turning operations based on multi performance criteria , 2013 .

[4]  Edmundas Kazimieras Zavadskas,et al.  Multicriteria selection of project managers by applying grey criteria , 2008 .

[5]  V. Pandurangadu,et al.  Machining parameters optimisation in turning of GFRP composites by desirability function analysis embedded with Taguchi method , 2015 .

[6]  Bijan Sarkar,et al.  Selection of robot for automated foundry operations using fuzzy multi-criteria decision making approaches , 2014 .

[7]  S. Chakraborty,et al.  Cutting tool material selection using grey complex proportional assessment method , 2012 .

[8]  V. Pandurangadu,et al.  Cutting power prediction model for turning of GFRP composites using response surface methodology , 2012 .

[9]  Biswanath Doloi,et al.  Multi-criteria optimization and predictive modeling of turning forces in high-speed machining of yttria based zirconia toughened alumina insert using desirability function approach , 2017 .

[10]  Rupesh Kumar Pandey,et al.  Optimization of bone drilling using Taguchi methodology coupled with fuzzy based desirability function approach , 2015, J. Intell. Manuf..

[11]  Prasenjit Chatterjee,et al.  Materials selection using COPRAS and COPRAS-G methods , 2012 .