Prediction of Resistance Spot Welding Quality Based on BPNN Optimized by Improved Sparrow Search Algorithm

Accurately predicting resistance spot welding (RSW) quality is essential for the manufacturing process. In this study, the RSW process signals of 2219/5A06 aluminum alloy under two assembly conditions (including gap and spacing) were analyzed, and then artificial intelligence modeling was carried ou...

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Detalles Bibliográficos
Autores principales: Hu, Jianming, Bi, Jing, Liu, Hanwei, Li, Yang, Ao, Sansan, Luo, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608006/
https://www.ncbi.nlm.nih.gov/pubmed/36295388
http://dx.doi.org/10.3390/ma15207323

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608006/
https://www.ncbi.nlm.nih.gov/pubmed/36295388
http://dx.doi.org/10.3390/ma15207323

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