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A multi-objective optimization using response surface model coupled with particle swarm algorithm on FSW process parameters

In this study, multi-objective optimization of mechanical properties in friction-stir-welding of AH12 1050 aluminum alloy is performed using a combination of the response surface method and multi-objective particle swarm optimization algorithm. The process parameters are considered as tool pin diame...

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Detalles Bibliográficos
Autores principales:	Kahhal, Parviz, Ghasemi, Mohsen, Kashfi, Mohammad, Ghorbani-Menghari, Hossein, Kim, Ji Hoon
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857264/ https://www.ncbi.nlm.nih.gov/pubmed/35181705 http://dx.doi.org/10.1038/s41598-022-06652-3

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