Multi-Objective Optimization of Welding Parameters in GMAW for Stainless Steel and Low Carbon Steel Using Hybrid RSM-TOPSIS-GA-SA Approach

Authors

  • Siddharth Jeet Department of Mechanical Engineering, Centre for Advanced Post Graduate Studies, BPUT, Rourkela, Odisha, 769004, India
  • Abhishek Barua Department of Mechanical Engineering, Centre for Advanced Post Graduate Studies, BPUT, Rourkela, Odisha, 769004, India
  • , Biswajit Parida Department of Mechanical Engineering, Centre for Advanced Post Graduate Studies, BPUT, Rourkela, Odisha, 769004, India
  • Bibhuti Bhusan Sahoo Department of Mechanical Engineering, Indira Gandhi Institute of Technology, Sarang, Dhenkanal, Odisha, 759146, India
  • Dilip Kumar Bagal Department of Mechanical Engineering, Government College of Engineering, Kalahandi, Bhawanipatna, Odisha, 766002, India

Keywords:

GMAW, RSM, TOPSIS, Genetic Algorithm, Simulated Annealing, MDR, UTS

Abstract

Most of the failures are arisen on the welded elements due to the setting of inappropriate welding parameters. The forte of welded joints in GMAW depends on numerous input process parameters such as welding current, welding voltage, gas flow rate, torch angle, electrode feed rate etc. Wrong selection of these process parameters will lead to bad quality welds. So there is a need to control the process parameters to obtain good quality welded joints. For getting the better values of these parameters, it needs to conduct experiments by varying the input process parameters that are affecting the strength of the welded joints. Present study deals with multi objective optimization of Gas Metal Arc Welding GMAW) parameters used for welding disparate metals i.e. AISI 1018 and SS
202. Welding current, time and voltage has been used as input parameters. Experiments have been planned as per Response Surface Method. Multi-response optimization has been carried out using TOPSIS method (Technique for order of preference by similarity to ideal solution).The developed predictive model is used to formulate the objective function for genetic algorithm and simulated annealing which was used to search for an optimal setting for better metal deposition rate(MDR), ultimate tensile strength(UTS) and hardness of the welded joint.

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Published

2018-08-22

How to Cite

Jeet, S. ., Barua, A. ., Parida, , B. ., Sahoo, . B. B. ., & Bagal, . D. K. . (2018). Multi-Objective Optimization of Welding Parameters in GMAW for Stainless Steel and Low Carbon Steel Using Hybrid RSM-TOPSIS-GA-SA Approach. International Journal of Technical Innovation in Modern Engineering & Science, 4(8), 683–692. Retrieved from https://ijtimes.com/IJTIMES/index.php/ijtimes/article/view/921