Parametric modeling and optimization of novel water-cooled advanced submerged arc welding process
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In this research, a novel water-cooled torch is developed for continuous advanced submerged arc welding (ASAW) operation to enhance metal deposition rate at reduced heat input. Initially, the power saving and metal deposition rate attained by use of the developed torch in ASAW have been compared with submerged arc welding to demonstrate the better efficiency of the developed torch. Then, an experimental investigation has been performed based on central composite design of response surface methodology to study the effect of process parameters, viz., welding voltage, wire feed rate, welding speed, nozzle to plate distance, and preheat current on ASAW characteristics, namely, flux consumption, metal deposition rate, and heat input. The relationships between process parameters and response parameters have been established. Finally, the Jaya algorithm technique has been used for multi-objective optimization of process parameters to achieve better welding performance.
KeywordsFlux consumption Torch ASAW Metal deposition rate Heat input Multi-objective optimization Jaya algorithm
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