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This study presents a multi-objective optimization approach for the friction-stir-welding (FSW) process of AH12 1050 aluminum alloy using a response surface model combined with a particle swarm optimization algorithm. The optimization focuses on five process parameters and aims to enhance mechanical properties such as yield strength, fracture strain, impact toughness, and hardness. Results indicate that lower rotational speeds and higher feed speeds improve material strength and that the threaded cylindrica

Author

G.P ENTERTAINMENT

Language

EN