Modeling and optimization of flux cored arc welding by genetic algorithm and simulated annealing algorithm
Multidiscipline Modeling in Materials and Structures
ISSN: 1573-6105
Article publication date: 30 September 2013
Abstract
Purpose
The purpose of this study is to optimize the process parameters (wire feed rate (F), voltage (V), welding speed (S) and torch angle (A)) in order to obtain the optimum bead geometry (bead width (W), reinforcement (R) and depth of penetration (P)), considering the ranges of the process parameters using evolutionary algorithms, namely genetic algorithm (GA) and simulated annealing (SA) algorithm.
Design/methodology/approach
The modeling of welding parameters in flux cored arc welding process using a set of experimental data and regression analysis, and optimization using GA and SA algorithm.
Findings
The adequate mathematical model was developed. The multiple objectives were optimized satisfactorily by the GA and SA algorithms. The feasible solution results are very closer to the optimized results and the percentage error was found to be negligibly small.
Originality/value
The optimal welding parameters were identified in order to increase the productivity. The welding input parameters effect was found.
Keywords
Citation
Katherasan, D., V. Elias, J., Sathiya, P. and Noorul Haq, A. (2013), "Modeling and optimization of flux cored arc welding by genetic algorithm and simulated annealing algorithm", Multidiscipline Modeling in Materials and Structures, Vol. 9 No. 3, pp. 307-326. https://doi.org/10.1108/MMMS-03-2012-0008
Publisher
:Emerald Group Publishing Limited
Copyright © 2013, Emerald Group Publishing Limited