Modeling and Optimization of Gas Metal Arc Welding (GMAW) ProcessR. Venkata Rao (Sardar Vallabhbhai National Institute of Technology (SV NIT), India)
Copyright © 2012.
29 pages.
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DOI: 10.4018/978-1-4666-0128-4.ch014
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MLA
Rao, R. Venkata. "Modeling and Optimization of Gas Metal Arc Welding (GMAW) Process." Computational Methods for Optimizing Manufacturing Technology: Models and Techniques. IGI Global, 2012. 339-367. Web. 18 Jun. 2013. doi:10.4018/978-1-4666-0128-4.ch014
APA
Rao, R. V. (2012). Modeling and Optimization of Gas Metal Arc Welding (GMAW) Process. In J. Davim (Ed.), Computational Methods for Optimizing Manufacturing Technology: Models and Techniques (pp. 339-367). Hershey, PA: Engineering Science Reference. doi:10.4018/978-1-4666-0128-4.ch014
Chicago
Rao, R. Venkata. "Modeling and Optimization of Gas Metal Arc Welding (GMAW) Process." In Computational Methods for Optimizing Manufacturing Technology: Models and Techniques, ed. J. Paulo Davim, 339-367 (2012), accessed June 18, 2013. doi:10.4018/978-1-4666-0128-4.ch014
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 Favorite  | | TopAbstractWeld quality is greatly affected by the operating process parameters in the gas metal arc welding (GMAW) process. The quality of the welded material can be evaluated by many characteristics, such as bead geometric parameters, deposition efficiency, weld strength, weld distortion, et cetera. These characteristics are controlled by a number of welding process parameters, and it is important to set up proper process parameters to attain good quality. Various optimization methods can be applied to define the desired process output parameters through developing mathematical models to specify the relationship between the input parameters and output parameters. The method capable of accurate prediction of welding process output parameters would be valuable for rapid development of welding procedures and for developing control algorithms in automated welding applications. This chapter presents the details of various techniques used for modeling and optimization of GMAW process parameters. The optimization methods covered in this chapter are appropriate for modeling and optimizing the GMAW process. It is found that there is high level of interest in the adaptation of RSM and ANN techniques to predict responses and to optimize the GMAW process. Combining two optimization techniques, such as GA and RSM, would reveal good results for finding out the optimal welding conditions. Furthermore, efforts are required to apply advanced optimization techniques to find out the optimal parameters for GMAW process at which the process could be considered safe and more economical. TopIntroductionThe gas metal arc welding (GMAW) process is a welding process that yields coalescence of metals by heating with a welding arc between continuous filler metal wire electrode and the work piece. The continuous wire electrode, which is drawn from a reel by an automatic wire feeder, and then fed through the contact tip inside the welding torch, is melted by the internal resistive power and heat transferred from the welding arc. Heat is concentrated by the welding arc from the end of the melting electrode to weld pool and by the molten metal that is being transferred to weld pool. Molten weld pool and electrode wire are protected from contaminants in the atmosphere by a shielding gas obtained from various combinations. Figure 1 shows the basic circuit diagram of GMAW process. TopComplete Chapter List
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