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Multi-objective Optimization for CNC turning of 2205 Duplex Stainless Steel Using Response Surface Methodology and Particle Swarm Optimization.


Mr. Nanji N. Chaudhary , L.D. College of Engineering, Ahmedabad.; Prof. D. R. Shah, L.D. College of Engineering, Ahmedabad.; Prof.D.A. Patel, S.P.C.E., Visnagar


Taguchi’s technique, Response surface methodology, ANOVA, Optimization, PSO.


In present study, response surface methodology has been applied to determine the optimum cutting conditions leading to minimum surface roughness as well as minimum machining time and maximum material removal rate in CNC turning operations of 2205 duplex stainless steel with carbide cutting tool. 27 experiments were conducted based on L27 orthogonal array of Taguchi’s Technique for 3 level of input parameters such as cutting speed, feed rate, depth of cut and Nose radius. The adequacy of the models on surface roughness, machining time and material removal rate have been established with Analysis of Variance (ANOVA). An attempt has also been made to optimize prediction model using particle swarm optimization to find the optimum cutting parameters.

Other Details

Paper ID: IJSRDV2I3366
Published in: Volume : 2, Issue : 3
Publication Date: 01/06/2014
Page(s): 1331-1337

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