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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
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 |