Title: Multi-objective optimisation of multipass turning by using a genetic algorithm

Authors: Ramon Quiza Sardinas, Jorge E. Albelo Mengana, J. Paulo Davim

Addresses: Department of Mechanical Engineering, University of Matanzas, Autopista a Varadero km 3 1/2, Matanzas 44740, Cuba. ' Department of Mechanical Engineering, University of Matanzas, Autopista a Varadero km 3 1/2, Matanzas 44740, Cuba. ' Department of Mechanical Engineering, University of Aveiro, Campus Santiago, 3810-193 Aveiro, Portugal

Abstract: Selection of optimal or near-optimal cutting parameters is a very important issue for every machining process. This paper presents a multi-objective optimisation technique to optimise the cutting parameters in multipass turning processes. A micro genetic algorithm is used to approximate the Pareto|s front, by obtaining a set of non-dominated solutions. From the generated Pareto|s front, the decision-maker chooses the most convenient solution, in accordance with its particular conditions and interests. An application sample is carried out to illustrate the proposed method and its outcomes are analysed for several manufacturing conditions. Paper remarks the advantages of the multi-objective optimisation over the single objective one.

Keywords: multipass turning; multi-objective optimisation; genetic algorithms; GAs; cutting parameters.

DOI: 10.1504/IJMPT.2009.025223

International Journal of Materials and Product Technology, 2009 Vol.35 No.1/2, pp.134 - 144

Available online: 16 May 2009 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article