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Optimization of flux-cored arc welding process parameters by using genetic algorithm

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Abstract

The effect of flux-cored arc welding (FCAW) process parameters on the quality of the super duplex stainless steel (SDSS) claddings can be studied using Taguchi L9 design of experiments. In this experimental investigation, deposits were made with 30 % bead overlap. Establishing the optimum combination of process parameters is required to ensure better bead geometry and desired properties. The above objectives can be achieved by identifying the significant input process parameters as input to the mathematical models like welding voltage (X 1), wire feed rate (X 2), welding speed (X 3), and nozzle-to-plate distance (X 4). The identified responses governing the bead geometry are bead width (W) and height of the reinforcement (H). The mathematical models were constructed using the data collected from the experiments based on Taguchi L9 orthogonal array. Then, the responses were optimized using non-traditional nature-inspired technique like genetic algorithm (GA).

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Authors and Affiliations

  1. Department of Mechanical Engineering, Kumaraguru College of Technology, Coimbatore, 641 049, India

    B. Senthilkumar

  2. Department of Mechanical Engineering, SVS College of Engineering, Coimbatore, 642 109, India

    T. Kannan

  3. Department of Mechanical Engineering, Sri Guru Institute of Technology, Coimbatore, 641 110, India

    R. Madesh

Authors
  1. B. Senthilkumar
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  2. T. Kannan
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  3. R. Madesh
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Correspondence to B. Senthilkumar.

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Senthilkumar, B., Kannan, T. & Madesh, R. Optimization of flux-cored arc welding process parameters by using genetic algorithm. Int J Adv Manuf Technol 93, 35–41 (2017). https://doi.org/10.1007/s00170-015-7636-7

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  • DOI: https://doi.org/10.1007/s00170-015-7636-7

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