Swarm-intelligent neural network system (SINNS) based multi-objective optimization of hard turning

Transactions of the North American Manufacturing Research Institute of SME

Volumn 34, Issue , 2006, Pages 611-618

  Karpat, Yiǧit ^a   Özel, Tuǧrul ^a  

^a DEPARTMENT OF INDUSTRIAL AND SYSTEMS ENGINEERING   (United States)

Author keywords

Multi objective optimization; Neural networks and hard turning; Particle swarm optimization

Indexed keywords

MULTI OBJECTIVE OPTIMIZATION; PARTICLE SWARM OPTIMIZATION; SWARM INTELLIGENT NEURAL NETWORK SYSTEMS (SINNS);

EVOLUTIONARY ALGORITHMS; INTELLIGENT AGENTS; NEURAL NETWORKS; OPTIMIZATION; PARAMETER ESTIMATION; PROBLEM SOLVING;

TURNING;

EID: 33748706420     PISSN: 10473025     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (26)

1. Benitez J.E., R. M. Everson, and Fieldsend J. E., (2005) "A MOPSO Algorithm Based Exclusively on Pareto Dominance Concepts", Evolutionary Multi-Criterion Optimization, pp. 459-473.
2. Chou Y.K., C.J. Evans, and M.M. Barash, (2002), "Experimental investigation on CBN turning of hardened AISI 52100 steel," Journal of Materials Processing Technology, Vol. 124, pp. 274-283.
3. Coello C.A. and M.S.Lechuga, (2002) "Mopso: A proposal for multiple-objective particle swarm optimization," Proceedings of IEEE, World Congress on Computational Intelligence, 2002, pp. 1051-1056
4. Coello C.A, G. T. Pulido, and M. S. Lechuga, (2004), "Handling Multiple Objectives With Particle Swarm Optimization", IEEE Transactions on Evolutionary Computation, Vol. 8, pp. 256-279.
5. Cus F. and J. Balic, (2003) "Optimization of cutting process by GA approach," Robotics and Computer Integrated Manufacturing, Vol. 19, pp. 113-121
6. Dimla D.E., P.M. Lister, and N.J Leighton, (1997), "Neural network solutions to the tool condition monitoring problem in metal cutting - A review critical review of methods," International Journal of Machine Tools and Manufacture, Vol. 39, pp. 1219-1241.
7. Eberhart R.C., and J. Kennedy, (1995) "Particle swarm optimization", Proceedings of IEEE International Conference on Neural Networks, Piscataway, NJ, pp. 1942-1948
8. EI-Mounayri H., Z. Dugla, and H. Deng, (2003) "Prediction of surface roughness in end milling using swarm intelligence," Proceedings of the 2003 IEEE Swarm Intelligence Symposium, pp. 220-227.
9. Fieldsend J.E. and S. Singh, (2002), "A multi-objective algorithm based upon particle swarm optimization, an efficient data structure and turbulence," Proceedings of the U.K. Workshop on Computational Intelligence, pp. 1677-1681
10. Hu X. and R. Eberhart, (2002), "Multiobjective optimization using dynamic neighborhood particle swarm optimization," Proceeedings of IEEE Swarm Intelligence Symposium, 2002, pp. 1404-1411.
11. Karpat Y., and T. Özel, (2005), "Hard Turning Optimization Using Neural Network Modeling and Swarm Intelligence" Transactions of North American Manufacturing Research Institute, Vol. XXXIII, pp. 179-186.
12. Koenig W.A, R. Komanduri, H.K. Toenshoff, and G. Ackeshott, (1984), "Machining of hard metals," Annals of the CIRP, Vol.33/2, pp. 417-427.
13. Mamalis G., J. Kundrak, and M. Horvath, (2005), "On a Novel Tool Life Relation for Precision Cutting Tools", Journal of Manufacturing Science and Engineering, Vol. 127, pp 328-332.
14. Marler R.T. and U.S. Arora, (2004), "Survey of multi-objective optimization methods for engineering", Struct. Multidisc. Optim., 26, 369-395.
15. Mostaghim S. and J. Teich, (2003) "Strategies for finding good local guides in multi-objective particle swarm optimization," Proceedings of IEEE 2003 Swarm Intelligence Symposium, pp. 26-33.
16. Özel T., T-K. Hsu, and E. Zeren, (2005), "Effects of cutting edge geometry, workpiece hardness, feed rate and cutting speed on surface roughness and forces in finish turning of hardened AISI H13 steel," International Journal of Advanced Manufacturing Technology, Vol. 25, pp. 262-269.
17. Özel T. and Y. Karpat, (2005), "Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks," International Journal of Machine Tools and Manufacture, Vol. 45, pp. 467-479.
18. Pareto V., Manuale di Economica Politica, Societa Editrice Libraria. Milan;
19. translated to English by A.S. Schwier as Manual of Political Economy, edited by A.S. Schwier and A.N. Page, 1971. New York: A.M. Kelley, 1906.
20. Tandon V., H. EI-Mounayri, and H. Kishawy, (2002) "NC end milling optimization using evolutionary computation," International Journal of Machine Tools and Manufacture, Vol 42, pp. 595-605
21. Thiele J.D., S.N. Melkote, R.A. Peascoe, and T.R. Watkins, (2000), "Effect of cutting-edge geometry and workpiece hardness on surface residual stresses in finish hard turning of AISI 52100 steel," ASME Journal of Manufacturing Science and Engineering, Vol. 122, pp.642-649.
22. Saravanan R., P. Asokan, and M. Sachidanandam, (2002), "A multi-objective genetic algorithm (GA) approach for optimization of surface grinding operations," International Journal of Machine Tools and Manufacture, Vol. 42, pp. 1327-1334
23. Shi Y. and R. C. Eberhart, (1988), "Parameter selection in particle swarm optimization", Proceedings of 7th Annual Conference on Evolutionary Programming, San Diego.
24. Toenshoff, H., H-G., Wobeker, and D., Brandt, (1995), "Hard turning - influences on the workpiece properties," Transactions of North American Manufacturing Research Institute, Vol. XXIII, pp. 215-220.
25. Villalobos-Arias M. A., G. T. Pulido, and C.A Coello, (2005), "A Proposal to Use Stripes to Maintain Diversity in a Multi-Objective Particle Swarm Optimizer", IEEE Swarm Intelligence Symposium, pp.22-29.
26. Zitzler E., M. Laumanns, and S. Bleuler, (2003),"A tutorial on evolutionary multiobjective optimization," Workshop on Multiple Objective Metaheuristics (MOMH 2002), Springer-Verlag, Berlin, Germany.