Optimization of Metal Inert Gas (MIG) Welding Parameters for Strong Joints of 6061-T6 Aluminum Alloys using Genetic Algorithm (GA)

Authors

  • Brijesh Prasad PG Student, Mechanical Engineering Department, Graphic Era University, Dehradun (GEU), India
  • Jyotsana Singh PG Student, Mechanical Engineering Department, Graphic Era University, Dehradun (GEU), India
  • Rajesh P Verma Assistant Professor, Mechanical Engineering Department, Graphic Era University (GEU), Dehradun, India

Keywords:

Gmaw, Optimization, Genetic Algorithm, Aluminum Alloy, Mechanical Strength.

Abstract

In this work optimization was done using Genetic Algorithm (GA), which is most known in the numerical field, to optimize the MIG welding parameters (current, voltage and gas flow rate) to maximize the tensile strength (TS) and weld hardness (WH) of MIG welded butt joint of 6061-T6 aluminum alloys. Regression equations were obtained for TS and WH and then a source code was developed to do the optimization. Confirmation experiments were performed to validate the GA results. The results indicate that method is capable of locating the optimum conditions with a relatively small percentage of errors and so, it may be used to model the MIG welding effectively.

References

1. Kumar A, Sundarrajan S. Optimization of pulsed TIG welding process parameters on mechanical properties of AA5456 aluminum alloy weldments. Materials and Design 2009; 30: 1288.
2. Karandeniz E, Ozsarac U, Yildiz C. The effect of process parameters on penetration in gas metal arc welding process. Materials and Design 2007; 28: 649-56.
3. Khan MDF, Dwivedi DK, Sharma S. Development of response surface model for tensile shear strength of weld-bonds of aluminum alloy 6061-T651. Materials and Design 2012; 34: 673-78.

Published

2019-01-17

Issue

Vol. 2 No. 1 (2015): Special Issue- Journal of Advanced Research in Manufacturing, Material Science & Metallurgical Engineering

Section

Articles