Journal of the Association of Engineers, India

Saurav Dutta ¹, M. Sundar ², Asish Bandyopadhyay ³, Pradip Ku. Pal ³, Gautam Nandi ³, Subhash Ch. Ray ³

Affiliations
1 Department of Mechanical Engineering, B.P. Poddar Institute of Management and Technology, 137, V.I.P. Road, Kolkata-700052, IN
2 School of Laser Science and Engineering, Jadavpur University, IN
3 Department of Mechanical Engineering, Jadavpur University, Kolkata-700032, IN

Abstract

Submerged arc welding (SAW) is one of the chief metal fabrication processes in industry. It works with high current density and can effect high metal deposition rate. The present work emphasizes on the study of influence of process parameters on quality and performance of submerged arc weldment, by incorporating multiple linear regression method. Based on 3³ factorial design without replication, experiments were conducted with three different levels of process parameters like voltage, welding current and electrode stick out to obtain butt joints from mild steel plates. Experimental data have been utilized to develop a mathematical model which reveals the linear relationship among various process control parameters and response variables in relation to submerged arc weldment. Graphical representations of the experimental data as well as the predicted data, obtained from the developed model, are supposed to contribute valuable information for quality control of submerged are welding process. This would help to obtain superior quality weld and also to achieve higher productivity.

Keywords

Submerged Arc Welding, Regression Analysis, Factorial Design.

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