Table of Contents
ISRN Metallurgy
Volume 2013, Article ID 460651, 10 pages
Research Article

Optimization of GMAW Process Parameters Using Particle Swarm Optimization

1Department of Mechanical Engineering, Valia Koonambaikulathamma College of Engineering and Technology, Kerala 692574, India
2Department of Mechanical Engineering, SVS College of Engineering, Coimbatore, Tamilnadu 642109, India
3Department of Mechanical Engineering, IGNOU, Delhi 110068, India

Received 2 October 2012; Accepted 4 November 2012

Academic Editors: M. Carboneras, C. Panagopoulos, and S. C. Wang

Copyright © 2013 P. Sreeraj et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.