Journal of the Association of Engineers, India

Md. Ismail ¹, Asish Bandyopadhyay ², Santanu Das ¹

Affiliations
1 Department of Mechanical Engineering, Kalyani Government Engineering College, Kalyani, West Bengal, IN
2 Department of Mechanical Engineering, Jadavpur University, Kolkata, IN

Abstract

Submerged arc welding process is usually employed for welding of thick workpieces. Quality of submerged arc welded components depends on various factors. Selection of appropriate process parameters for joining metallic components is needed to obtain sound weldment. Many researchers carried out investigations to find out appropriate process conditions to obtain quality submerged arc welded components with typical applications. In the present work, Taguchi's L9 orthogonal array is used to find out the parameter combinations of the experiments to perform. Weld current, weld speed and type of flux are varied to three levels to find out the appropriate condition to obtain desired bead-on-plate quality within the domain of experimental conditions chosen. It is found out that at a weld current of 400 A, welding speed of 450 mm/min and with flux with basicity index of 1.2, desired weld deposition can be obtained.

Keywords

Welding, Submerged ARC Welding, Orthogonal Array, Optimization, Process Parameter Selection, Bead-On-Plate Weld Deposition, Flux.

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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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