Optimization of Bead Geometry in Submerged Arc Welding Process Using Imperialist Competitive Algorithm

Abstract

The Imperialist Competitive Algorithm (ICA) that was recently introduced has shown its good performance in optimization problems. This algorithm is inspired by competition mechanism among Imperialists and colonies, in contrast to evolutionary algorithms. This paper presents the mathematical modeling and optimization of bead geometry in submerged arc welding using of regression analysis and ICA. Generally, in welding process, weld bead geometry and weld quality are, in most parts, depend on welding parameters, thus the weld quality is usually measured in terms of weld bead geometry which that includes weld height, width and penetration. Therefore, in this study, an attempt was made to minimize the weld area, after satisfying the condition of maximum bead penetration using of Imperialist Competitive Algorithm. ICA has demonstrated excellent capabilities such as simplicity, accuracy, faster convergence and better global optimum achievement. The results of ICA were finally compared with the Genetic Algorithm (GA). The outcome shows the success of ICA in optimizing the weld bead geometry.

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Cite this paper

@inproceedings{Towsyfyan2012OptimizationOB, title={Optimization of Bead Geometry in Submerged Arc Welding Process Using Imperialist Competitive Algorithm}, author={Hossein Towsyfyan and Seyed Adnan Adnani Salehi}, year={2012} }