Attaining optimized A-TIG welding parameters for carbon steels by advanced parameter-less optimization techniques: with experimental validation

  • Jay J. VoraEmail author
  • Kumar Abhishek
  • Seshasai Srinivasan
Technical Paper


Enhanced penetration potential of activated TIG (A-TIG) welding process over conventional TIG welding has made the former process preferred for welding in recent times. The quality and shape of the weld in A-TIG are not only influenced by the chemical composition of the flux, but also by the selection of welding parameters. As a variety of process parameters influence the results, a proper understanding of process performance and identification of favorable welding conditions (optimum setting of process parameters) are indeed necessary to improve quality. The present work highlights the application potential of multi-response optimization route by integrating response surface methodology with the JAYA optimization algorithm, particularly for optimizing the A-TIG welding process parameters for carbon steels. Systematic experiments were carried out considering welding current, arc gap and travel speed as input parameters, whereas the depth of penetration, depth-to-width ratio, heat input and total width of heat-affected zone were considered as output performance characteristics. An attempt has been made in the current study to recognize the precise setting of selected input process parameters for simultaneous optimization of the aforementioned performance characteristics. The result of JAYA algorithm has also been compared with the teaching–learning-based optimization technique. While fairly similar results were achieved, the implementation of JAYA algorithm was computationally efficient. Experimental validation of the single-objective as well as multi-objective optimization results indicates that the empirical models for the response parameters as well as the proposed optimization framework are accurate tools in A-TIG welding research.


Activated TIG (A-TIG) JAYA TLBO RSM Optimization 



The welding setup used for the welding trials was sponsored by BRFST via project number NFP-08/MAT/1. Authors would like to acknowledge them. Authors would also like to acknowledge the help and support provided by Mr. Parth Prajapati and Mr. Rakesh Chaudhari for the optimization studies. We would also like to thank B.Tech students who extended their help in experimentation. Lastly, the editors and reviewers for the paper are kindly acknowledged for their constructive comments which enhanced the quality of the research paper.


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Copyright information

© The Brazilian Society of Mechanical Sciences and Engineering 2019

Authors and Affiliations

  1. 1.Department of Mechanical Engineering, School of TechnologyPandit Deendayal Petroleum UniversityGandhinagarIndia
  2. 2.Department of Mechanical EngineeringInstitute of Infrastructure, Technology, Research and ManagementAhmedabadIndia
  3. 3.School of Engineering Practice and TechnologyMcMaster UniversityHamiltonCanada
  4. 4.Department of Mechanical EngineeringMcMaster UniversityHamiltonCanada

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