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Optimization of GMAW Process Parameters Using Particle Swarm Optimization

Publication Type : Journal Article

Publisher : Hindawi

Source : ISRN Metallurgy, vol. 2013, pp 1- 10, 2013

Url : https://onlinelibrary.wiley.com/doi/10.1155/2013/460651

Campus : Nagercoil

School : School of Computing

Year : 2013

Abstract : To improve the corrosion-resistant properties of carbon steel cladding process is usually used. It is a process of depositing a thick layer of corrosion resistant material-over carbon steel plate. Most of the engineering applications require high strength and corrosion resistant materials for long-term reliability and performance. By cladding, these properties can be achieved with minimum cost. The main problem faced in cladding is the selection of optimum combinations of process parameters for achieving quality clad and hence good clad bead geometry. This paper highlights an experimental study to optimize various input process parameters (welding current, welding speed, gun angle, contact tip to work distance, and pinch) to get optimum dilution in stainless steel cladding of low-carbon structural steel plates using gas metal arc welding (GMAW). Experiments were conducted based on central composite rotatable design with full-replication technique and mathematical models were developed using multiple regression method. The developed models have been checked for adequacy and significance. Using particle swarm optimization (PSO) the parameters were optimized to get minimal dilution.

Cite this Research Publication : Sreeraj, P., Kannan, T., and Subhasis Maji, “Optimization of GMAW Process Parameters Using Particle Swarm Optimization”, ISRN Metallurgy, vol. 2013, pp 1- 10, 2013

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