Publication Type : Journal Article
Publisher : Praise Worthy Prize
Source : Asian Review of Mechanical Engineering, vol. 2, no. 1, pp 07 - 15, 2013
Url : https://armejournal.org/index.php/arme/article/view/2328
Campus : Nagercoil
School : School of Computing
Year : 2013
Abstract : Gas metal arc welding (GMAW) process has attracted increasing attention in industry because of high reliability, easiness in operation, high penetration good surface finish and high productivity. The quality of gas metal arc welding (GMAW) components depends on weld bead geometry and dilution. Cladding process, this is widely used in industries for preventing corrosion. For cladding GMAW process, is mostly used. For economising the operation bead geometry and dilution must be optimized. These objectives can be achieved by developing mathematical equations using multiple regression analysis. The experiments were conducted based on a five factor five level central composite rotatable design matrix. A genetic algorithm (GA) was developed to optimize various process parameters for achieving desired weld bead geometry.
Cite this Research Publication : Sreeraj, P., Kannan, T., and Subhasis Maji, “Optimization of Weld Bead Geometry in Gas Metal Arc Cladded Austenitic Stainless Steel Plates Using Genetic Algorithm”, Asian Review of Mechanical Engineering, vol. 2, no. 1, pp 07 - 15, 2013