Genetic algorithm-based multi-objective optimization of cutting parameters in turning processes

Engineering Applications of Artificial Intelligence

Volumn 19, Issue 2, 2006, Pages 127-133

  Quiza Sardiñas, Ramón ^a   Rivas Santana, Marcelino ^a   Alfonso Brindis, Eleno ^a  

^a UNIVERSITY OF MATANZAS   (Cuba)

Author keywords

Genetic algorithms; Multi objective optimization; Turning processes

Indexed keywords

GENETIC ALGORITHMS; OPTIMAL SYSTEMS; OPTIMIZATION; PARAMETER ESTIMATION; PARETO PRINCIPLE; SPEED;

CUTTING DEPTH; CUTTING PARAMETERS; MULTI-OBJECTIVE OPTIMIZATION; PARETO FRONT GRAPH; TURNING PROCESSES;

TURNING;

EID: 31044441977     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2005.06.007     Document Type: Article

References (20)

1. Abbass, H.A., Sarker, R., Newton, Ch., 2001. PDE: A Pareto-frontier differential evolution approach for multi objective optimization problems. Proceedings of the Congress on Evolutionary Computation, Vol. 2, Piscataway NJ, pp. 971-978.
2. E. Amiolemhen, and A.O.A. Ibhadode Application of genetic algorithms - determination of the optimal machining parameters in the conversion of a cylindrical bar stock into a continuous finished profile International Journal of Machine Tools and Manufacture 44 12-13 2004 1403 1412
3. W.T. Chien, and C.S. Tsai The investigation on the prediction of tool wear and the determination of optimum cutting conditions in machining 17-4PH stainless steel Journal of Material Processing Technology 140 1-3 2003 340 345
4. M.S. Chua, H.T. Loh, Y.S. Wong, and M. Rahman Optimization of cutting conditions for multi-pass turning operations using sequential quadratic programming Journal of Materials Processing Technology 28 1-2 1991 253 262
5. C.A. Coello, and G. Toscano A micro-genetic algorithm for multiobjective optimization E. Zitzler First International Conference on Evolutionary Multi-Criterion Optimization, Lecture Notes in Computer Science 2001 Springer New York 126 140
6. F. Cus, and J. Balic Optimization of cutting process by GA approach Robotics and Computer Integrated Manufacturing 19 2003 113 121
7. D. Dereli, I.H. Filiz, and A. Bayakosoglu Optimizing cutting parameters in process planning of prismatic parts by using genetic algorithms International Journal of Production Research 39 15 2001 3303 3328
8. T.J. Ko, and H.S. Kim Autonomous cutting parameter regulation using adaptive modeling and genetic algorithms Precision Engineering 22 4 1998 243 251
9. R. Kumar, and V. Kumar Optimum selection of machining conditions in abrasive flow machining using neural networks Journal of Material Processing Technology 108 2000 62 67
10. A. Kurpati, S. Azarm, and J. Wu Constraint handling improvement for multiobjective genetic algorithms Structural and Multidisciplinary Optimization 23 2002 204 213
11. B.Y. Lee, and Y.S. Tarng Cutting-parameter selection for maximizing production rate or minimizing production cost in multistage turning operations Journal of Materials Processing Technology 105 1-2 2000 61 66
12. M. Liang, M. Mgwatu, and M. Zuo Integration of cutting parameter selection and tool adjustment decisions for multipass turning International Journal of Advanced Manufacturing Technology 17 2001 861 869
13. A. Molinari, and M. Nouari Modeling of tool wear by diffusion in metal cutting Wear 525 2002 135 149
14. R. Saravanan, P. Asokan, and K. Vijayakumar Machining parameters optimisation for turning cylindrical stock into a continuous finished profile using genetic algorithm (GA) and simulated annealing (SA) International Journal of Advanced Manufacturing Technology 21 2003 1 9
15. A.I. Sönmez, A. Baykasoglu, T. Dereli, and I.H. Filiz Dynamic optimization of multipass milling operation via geometric programming International Journal of Machine Tools & Manufacturing 39 1999 297 320
16. R. Soodamani, and Z.Q. Liu GA-based learning for a model-based object recognition system International Journal of Approximate Reasoning 23 2000 85 109
17. F.W. Taylor On the art of cutting metals Transactions of the ASME 28 1907 310 350
18. D.A. Van Veldhuizen, and G.B. Lamont Multiobjective evolutionary algorithms: analizing the state-of-the-art Evolutionary Computation 8 2000 125 147
19. J. Wang, T. Kuriyagawa, X.P. Wei, and G.M. Gou Optimization of cutting conditions using a deterministic approach International Journal of Machine Tools & Manufacture 42 2002 1023 1033
20. U. Zuperl, and F. Cus Optimization of cutting conditions during cutting by using neural networks Robotics and Computer Integrated Manufacturing 19 2003 189 199