Multi-Objective Optimization of Submerged Arc Welding Process

Multi-Objective Optimization of Submerged Arc Welding Process

Submerged arc welding (SAW) is an important metal fabrication technology specially applied to join metals of large thickness in a single pass. In order to obtain an efficient joint, several process parameters of SAW need to be studied and precisely selected to improve weld quality. Many methodologie...

Full description

Bibliographic Details
Main Authors: Saurav Datta, Siba Sankar Mahapatra
Format: Article
Language:English
Published: Sultan Qaboos University 2010-06-01
Series:The Journal of Engineering Research
Subjects:
submerged arc welding (saw), multi-objective optimization, response surface methodology (rsm), desirability function (df), particle swarm optimization (pso)
Online Access:https://journals.squ.edu.om/index.php/tjer/article/view/73

Internet

https://journals.squ.edu.om/index.php/tjer/article/view/73

Similar Items