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

Internet

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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