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Multi-objective Optimization of Pulsed Gas Metal Arc Welding Process Using Neuro NSGA-II

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Abstract

Weld quality is a critical issue in fabrication industries where products are custom-designed. Multi-objective optimization results number of solutions in the pareto-optimal front. Mathematical regression model based optimization methods are often found to be inadequate for highly non-linear arc welding processes. Thus, various global evolutionary approaches like artificial neural network, genetic algorithm (GA) have been developed. The present work attempts with elitist non-dominated sorting GA (NSGA-II) for optimization of pulsed gas metal arc welding process using back propagation neural network (BPNN) based weld quality feature models. The primary objective to maintain butt joint weld quality is the maximization of tensile strength with minimum plate distortion. BPNN has been used to compute the fitness of each solution after adequate training, whereas NSGA-II algorithm generates the optimum solutions for two conflicting objectives. Welding experiments have been conducted on low carbon steel using response surface methodology. The pareto-optimal front with three ranked solutions after 20th generations was considered as the best without further improvement. The joint strength as well as transverse shrinkage was found to be drastically improved over the design of experimental results as per validated pareto-optimal solutions obtained.

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Acknowledgements

The authors are immensely grateful to Steel Technology Centre, IIT Kharagpur for the work material, carrying out the sample preparation and measurement of weld joint quality characteristics. They also wish to acknowledge the assistance and support provided by the Welding Laboratory of the Department of Mechanical Engineering, IIT Kharagpur.

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Authors and Affiliations

  1. Department of Production Engineering, Veer Surendra Sai University of Technology, Burla, Sambalpur, 768018, Odisha, India

    Kamal Pal

  2. Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India

    Surjya K. Pal

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  1. Kamal Pal
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  2. Surjya K. Pal
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Correspondence to Kamal Pal.

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Pal, K., Pal, S.K. Multi-objective Optimization of Pulsed Gas Metal Arc Welding Process Using Neuro NSGA-II. J. Inst. Eng. India Ser. C 100, 501–510 (2019). https://doi.org/10.1007/s40032-018-0466-2

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  • DOI: https://doi.org/10.1007/s40032-018-0466-2

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