Prediction of Electron Beam Welding Penetration Depth Using Machine Learning-Enhanced Computational Fluid Dynamics Modelling

The necessity for precise prediction of penetration depth in the context of electron beam welding (EBW) cannot be overstated. Traditional statistical methodologies, including regression analysis and neural networks, often necessitate a considerable investment of both time and financial resources to...

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Detalles Bibliográficos
Autores principales: Yin, Yi, Tian, Yingtao, Ding, Jialuo, Mitchell, Tim, Qin, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647526/
https://www.ncbi.nlm.nih.gov/pubmed/37960387
http://dx.doi.org/10.3390/s23218687

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647526/
https://www.ncbi.nlm.nih.gov/pubmed/37960387
http://dx.doi.org/10.3390/s23218687

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