A Review on Parametric optimization of MIG Welding for Medium Carbon Steel using FEA-DOE Hybrid Modeling

Welding is a manufacturing process, which is carried out for joining of mostly all metals. Metal inert gas (MIG) welding also known as Gas Metal Arc Welding (GMAW) process consists of heating, melting and solidification of parent metals and a filler material in localized fusion zone by a transient heat source to form a joint between the parent metals. A consumable electrode is used which also plays the role of conductor. MIG welding gives little loss of material and can be operated as semi as well as fully automated. A review of the techniques used for Design of Experiment (DOE) for this work has been indicated in this paper. Also the techniques used for obtaining optimal process parameters with the use of experimental data have been reviewed. The success of MIG welding process in terms of providing weld joints of good quality and high strength depends on the process conditions used in the setup. This review aims at identifying the main factors that have significant effect on weld joint strength and weld pool geometry (depth of penetration, weld width, etc.). The aim of this paper is to review the techniques of optimizing process parameters of MIG welding process and compare the experimental result with FEA for optimizing parameter.