This study by N.D. Jadhav et al. focuses on determining the optimum weld bead geometry for the Submerged Arc Welding (SAW) process to improve the quality of welded joints.

Scope of the Study:

Input parameters such as welding current, welding voltage, welding speed, and stick-out were evaluated.

Outputs such as weld bead width and reinforcement were identified as response variables.

Methodology and Findings:

An experimental approach using a two-level factorial design was adopted.

A mathematical model was developed through multiple regression analysis, which was used to determine the effects of input parameters on the outputs.

Results:

Current and stick-out showed a positive effect on reinforcement.

Speed and stick-out negatively affected weld bead width.

This study provides valuable insights for optimizing weld quality by analyzing the relative effects of welding parameters on the outputs.

#SAW | #sensitivityanalysis | #weldbeadgeometry | #multipleregression | #optimisation

For a detailed review, you can access the related study here.