OPTIMIZATION OF THE CONDITIONS OF MACHINING PARAMETERS BASED ON A CRITERION COMBINED BY GENETIC ALGORITHMS
Résumé
In metal cutting processes, cutting conditions have an influence on reducing the production cost and time and deciding the quality of a final product. This paper deals with the multiple- objective optimization of machining conditions problem in order to optimize the time and production cost simultaneously. This method consists essentially of improving previous methods by introducing the Pareto technique for solving the multiple-objective optimization problem using Genetic Algorithm. This method has been used for single pass turning.
A comparison between results obtained by the proposed approach and those obtained with the gradient and the simplex methods was carried out.
Références
[1] Agapiou.J.S. The optimisation of Machining operation based on a combined criterion part 1, the use of combined objectives in single-pass operation. ASME journal of Engineering for Industry .Vol.114.pp500-507 November 1992.
[2] Agapiou.J.S. The optimisation of Machining operation based on a combined criterion part 2, multipass operations. ASME journal of Engineering for Industry .Vol.114.pp508-513 November 1992.
[3] N.K. Jha, Optimising the Number of Tools and Cutting Parameters in Multi-tool Turning for Multiple Objectives through Geometric Programming.. Appl.Math.Modeling,Vol.10.pp.162-169.Juin 1986.
[4] M.S. CHUA et autres, Determination of Optimal Cutting using Desing of Experiments and Optimization Techniques. Int.Journal.Machines-Tool.and Manufacturing.Vol.33 N°2.pp.297-305.1993.
[5] D.E .Goldberg, Genetic Algorithms in search, optimisation and machine learning, Addison Wesley (1989).
[6] Alain Petrowski, Une introduction à l’optimisation par les algorithmes génétiques (Institut National de Télécommunications de France.1998).
[7] Olivier Amadieu et Christophe Parisot, Advanced genetic algorithms (G.A) in fortran 90 (Ecole Supérieure en Informatique France 06 1999).
[8] Nicolas Barnier, Pascal Brisset, Optimisation par algorithmes génétiques sous contraintes (janvier 1999).
[9] Assas.M. Djenane M. Optimisation des conditions d’usinage basée sur un critère combiné.2èmes Journées de Mécanique. EMP. Alger .23-24 Décembre 2001
[2] Agapiou.J.S. The optimisation of Machining operation based on a combined criterion part 2, multipass operations. ASME journal of Engineering for Industry .Vol.114.pp508-513 November 1992.
[3] N.K. Jha, Optimising the Number of Tools and Cutting Parameters in Multi-tool Turning for Multiple Objectives through Geometric Programming.. Appl.Math.Modeling,Vol.10.pp.162-169.Juin 1986.
[4] M.S. CHUA et autres, Determination of Optimal Cutting using Desing of Experiments and Optimization Techniques. Int.Journal.Machines-Tool.and Manufacturing.Vol.33 N°2.pp.297-305.1993.
[5] D.E .Goldberg, Genetic Algorithms in search, optimisation and machine learning, Addison Wesley (1989).
[6] Alain Petrowski, Une introduction à l’optimisation par les algorithmes génétiques (Institut National de Télécommunications de France.1998).
[7] Olivier Amadieu et Christophe Parisot, Advanced genetic algorithms (G.A) in fortran 90 (Ecole Supérieure en Informatique France 06 1999).
[8] Nicolas Barnier, Pascal Brisset, Optimisation par algorithmes génétiques sous contraintes (janvier 1999).
[9] Assas.M. Djenane M. Optimisation des conditions d’usinage basée sur un critère combiné.2èmes Journées de Mécanique. EMP. Alger .23-24 Décembre 2001
Publiée
2014-04-21
Comment citer
DJARI, D.; MANAA, R.; BENSAADA, S..
OPTIMIZATION OF THE CONDITIONS OF MACHINING PARAMETERS BASED ON A CRITERION COMBINED BY GENETIC ALGORITHMS.
Science des matériaux (Laboratoire LARHYSS), [S.l.], v. 1, avr. 2014.
ISSN 2352-9954.
Disponible à l'adresse : >https://revues.univ-biskra.dz/index.php/sdm/article/view/289>. Date de consultation : 07 mai 2024
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