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@article{157448,
        author = {Natesh Nishanth T and Dr.K.Venkatesan},
        title = {A LITERATURE REVIEW ON GAS METAL ARC  WELDING (GMAW)},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {7},
        pages = {370-375},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=157448},
        abstract = {In a significant industrial process called welding, two or more pieces of material are joined together by being heated or mixed together under pressure while they cool and solidify. Welding production aims to put materials together to satisfy service needs while paying the least amount of money possible. To do this, advanced welding manufacture (AWM) will employ scientific techniques. There are three steps to it: (1) pre-design that chooses process and joint design based on available processes (properties, capabilities, and costs); (2) design that utilises models to forecast the outcome from a given set of welding parameters and minimises a cost function for optimising the welding parameters; Manufacturers must attend to step (3) of the production process. The most popular robotic welding technique is gas metal arc welding, and this study analyses and analyses the state-of-the-art in real-time sensing of this process, including seam tracking, machine vision, weld pool monitoring, machine learning, etc. The intent of this paper is to compile and review the previous work done on improvements of MIG Welding.},
        keywords = {MIG welding, metal transfer, numerical analysis, Seam tracking, Weld pool},
        month = {},
        }