This study by Manjarekar S.S et al. focuses on optimizing the parameters of the Submerged Arc Welding (SAW) process. SAW is a widely used, established, and high-quality automated welding method for metal joining operations.

SAW Process Mechanism:

SAW involves generating an arc between a continuously fed electrode and the workpiece, melting the metal in the joint area while supplying additional filler material. The process is conducted under a granular flux covering.

During the process, heat effects depend on the electric arc, type of flux, and the thermal field within the workpiece. These factors are key to analyzing and optimizing the SAW process.

Features of the Study:

Tools such as RSM (Response Surface Methodology), ANOVA, MINITAB software, and S/N ratio were employed to optimize SAW parameters.

The thermal field of copper was analyzed to evaluate the effects of thermal conditions on different metallic materials.

This study provides significant insights into improving the efficiency of the SAW process and optimizing weld quality.

#SAW | #weldingoptimization | #thermalanalysis | #RSM | #ANOVA

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