Authors: D.K. Ojha, U.S. Dixit, J. Paulo Davim
Addresses: Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati-781 039, Assam, India. ' Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati-781 039, Assam, India. ' Department of Mechanical Engineering, University of Aveiro, Campus Santiago, 3810–193 Aveiro, Portugal
Abstract: In the present work, a soft computing based methodology is proposed for finding out the optimum process parameters in multipass turning process. Neural networks, fuzzy sets and Genetic Algorithm (GA) have been used as soft computing constituents. Neural networks have been used for the prediction of surface finish and tool life for a particular set of process parameters. In view of the uncertainty, surface finish is predicted as a fuzzy number. Optimisation for various goals is carried out using real coded GA. A number of examples have been taken to illustrate the effectiveness of the proposed methodology.
Keywords: machining economics; optimisation; multi-pass turning; soft computing; neural networks; fuzzy sets; genetic algorithms; GAs; fuzzy logic; surface finish; tool life; uncertainty.
International Journal of Materials and Product Technology, 2009 Vol.35 No.1/2, pp.145 - 166
Published online: 16 May 2009 *Full-text access for editors Access for subscribers Purchase this article Comment on this article