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This study investigates the optimization of weld bead characteristics during submerged arc welding (SAW) of AISI 1023 steel by analyzing the effects of various direct and indirect welding parameters. The research employs fractional factorial design to assess parameters such as welding voltage, wire feed rate, and plate thickness, and utilizes multiple optimization techniques including the Jaya algorithm, which yielded superior results compared to other methods. The findings contribute to the understanding o
- Author
- kamel Bousnina
- Language
- EN