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

Authors:
Luis M. Torres-Treviño;Felipe A. Reyes-Valdes;Victor López;Rolando Praga-Alejo
Affiliations:
Centro de Innovación, Investigación y Desarrollo en Ingeniería y Tecnología (CIIDIT), Km. 10 nueva carretera al Aeropuerto Internacional de Monterrey, PIIT Monterrey Apodaca, N ...;Corporación Mexicana de Investigación en Materiales, Ciencia y Tecnología 790, Saltillo, Coahuila, Mexico;Corporación Mexicana de Investigación en Materiales, Ciencia y Tecnología 790, Saltillo, Coahuila, Mexico;Corporación Mexicana de Investigación en Materiales, Ciencia y Tecnología 790, Saltillo, Coahuila, Mexico
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

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Abstract

The joining of Advanced High Strength Steel (AHSS) Martensitic type is being introduced in automotive industry; however, the optimization of the welding process is required to meet customer quality requirements. Two neural networks are built for modeling the relationship between the welding parameters and the output response of the process. An evolutionary algorithm is used for multi-objective optimization considering the neural networks as objective functions. The results consist of a set of solutions that approximate the Pareto optimal set. The related response of this set is known as the Pareto front. The set of solutions are validated in the real process satisfying the security and quality requirements.