Multi-objective optimization of a welding process by the estimation of the Pareto optimal set

Expert Systems with Applications

Volumn 38, Issue 7, 2011, Pages 8045-8053

  Torres Treviño, Luis M ^a   Reyes Valdes, Felipe A ^b   López, Victor ^b   Praga Alejo, Rolando ^b  

^a Centro de Innovacion   (Mexico)

^b Unidad Durango   (Mexico)

Author keywords

Evolutionary optimization; Multi objective optimization; Neural networks; Welding process optimization

Indexed keywords

ADVANCED HIGH STRENGTH STEEL; CUSTOMER QUALITY; EVOLUTIONARY OPTIMIZATIONS; MULTI OBJECTIVE; OBJECTIVE FUNCTIONS; OUTPUT RESPONSE; PARETO FRONT; PARETO-OPTIMAL SETS; QUALITY REQUIREMENTS; REAL PROCESS; WELDING PARAMETERS; WELDING PROCESS; WELDING PROCESS OPTIMIZATION;

AUTOMOTIVE INDUSTRY; ELECTRIC WELDING; HIGH STRENGTH STEEL; MARTENSITIC STEEL; NEURAL NETWORKS; PARETO PRINCIPLE; PROCESS CONTROL;

MULTIOBJECTIVE OPTIMIZATION;

EID: 79952440031     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.12.139     Document Type: Article

References (26)

1. ASM Handbook Vo1ume VI, ASM (1993). Procedure Development and Process Considerations for Resistance Welding, Welding, Brazing and Soldering; Editorial ASM Intemationa1 416, 226-230. (1073-1080).
2. K.Y. Benyounis, and A.G. Olabi Effect of laser welding parameters on the heat input and weld-bead profile Journal of Materials Processing Technology 164-165 2005 978 985 (Pubitemid 40584503)
3. K.Y. Benyounis, and A.G. Olabi Optimization of different welding processes using statistical and numerical approaches: A reference guide Advances in Engineering Software 39 2008 483 496 (Pubitemid 351200032)
4. K.Y. Benyounis, A.G. Olabi, and M.S.J. Hashmi Optimizing the laser-welded butt joint of medium carbon steel using RSM Journal of Materials Processing Technology 164-165 2005 986 989 (Pubitemid 40584504)
5. K.Y. Benyounis, A.G. Olabi, and M.S.J. Hashmi Multi-response optimization of CO2 laser-welding process of austenitic stainless steel Optics and Laser Technology 40 1 2008 76 87 (Pubitemid 47390939)
6. C.A. Coello-Coello, and G.B. Lamont Applications of multi-objective evolutionary algorithms (advances in natural computation) 2004 World scientific publishing Co. Pte. Ltd
7. D.S. Correia, and V.A. Ferraresi Welding process selection through a double criteria: Operational costs and non-quality costs Journal of Materials Processing Technology 184 1-3 2007 47 55 (Pubitemid 46210152)
8. S. Datta, A. Bandyopadhyay, and P.K. Pal Solving multi-criteria optimization problem in submerged arc welding consuming a mixture of fresh flux and fused slag International Journal of Advanced Manufacturing Technology 35 9-10 2008 935 942
9. S. Dinda, and R. Diaz The partnership for a new generation of vehicles (PNGV) and its impact on body engineering Proc. IBEC 95, Advanced Technologies and Processes Vol. 5 1995 IBEC Ltd.
10. Doong, S. L. (2007) Multi-objective Process Optimization of Electron Beam Welding Inconel 718, Master's Thesis, Department of Mechanical and Automation Engineering. National Kaohsiung First University of Science and Technology, Kaohsiung City, Taiwan.
11. D. Dumitrescu, C. Grosan, and M. Oltean Evolving continuous Pareto regions A. Abraham, L. Jain, R. Goldberg, Evolutionary multiobjective optimization: Theoretical advances and applications 2005 Springer-Verlag 167 199
12. J.A. Freeman, and D.M. Skapura Neural networks: Algorithms, applications, and programming techniques 1991 Addison-Wesley
13. M. Gen, and R. Cheng Genetic algorithms and engineering optimization 2000 John Wiley and Sons
14. Gunarajan, V. & Murugan, N. (2000). Prediction and Optimization of Weld Bead Volume for the Submerged Arc Process Part 2, Welding Journal Magazine (Welding Research Supplement), Octuber, pp. 331-338.
15. M. Hamedi, M. Shariatpanahi, and A. Mansourzadeh Optimizing spot welding parameters in a sheet metal assembly by neural networks and genetic algorithm Proceeding of the Institution of Mechanical Engineers Part B-Journal of Engineering manufacture 221 7 2007 1175 1184 (Pubitemid 350232160)
16. S. Haykin Neural networks A comprehensive foundation 1999 Prentice Hall
17. International Iron and Steel Institute (2002). Ultra Light Steel Auto Body - Advanced Vehicle Concepts (ULSAB AVC) Report/ AISI.
18. Lam Thu Bui, & Sameer Alam. (2008). Multi-objective optimization in computational intelligence: Theory and practice, IGI global.
19. P. Larranaga, and J.A. Lozano Estimation of distribution algorithms: A new tool for evolutionary computation (genetic algorithms and evolutionary computation) 2002 Kluwer Academic Publishers
20. Maurizio Mini, M. (2006). AHSS: Advanced high-strength-steels; GED.
21. Resistance Welding Manual, Resistance Welder Manufacturers' Association, 4th edition, Caps. 1,2, 7, 8 Y22, 1999, Philadelphia, EVA.
22. Torres-Treviño, L. M., (2006) EvoNorm, A New Evolutionary Algorithm to Continuous Optimization. Workshop on Optimization by Building and Using Probabilistic Models (OBUPM-2006) Genetic and Evolutionary Computation Conference (GECCO-2006) CD Proceeding Tutorials and Workshops, Seattle, WA.
23. L.M. Torres-Treviño Evonorm: Easy and effective implementation of estimation of distribution algorithms Research in Computing science 23 2007 75 83
24. L.M. Torres-Treviño On the estimation of the Pareto optimal set using an evolutionary parameter adjustment of the normal distribution function Seventh Mexican International Conference on Artificial Intelligence (MICAI 2008) Proceedings of the special session 27-31 october 2008 2008 IEEE computer society
25. M.D. Tumuluru Resistance spot welding of coated high-strength dual-phase steels Welding Journal 2006 31
26. Welding Handbook 8th Edition Volume 2 Welding processes Chapter 17 Spot, Seam and Projection Welding, pp. 531, 1991, Miami Fl EUA.