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

Yin, Yi; Tian, Yingtao; Ding, Jialuo; Mitchell, Tim; Qin, Jian.

Afiliação

Yin Y; Department of Engineering, Lancaster University, Bailrigg, Lancaster LA1 4YW, UK.
Tian Y; WAAM3D Ltd., 7 Thornton Chase, Milton Keynes MK14 6FD, UK.
Ding J; Department of Engineering, Lancaster University, Bailrigg, Lancaster LA1 4YW, UK.
Mitchell T; WAAM3D Ltd., 7 Thornton Chase, Milton Keynes MK14 6FD, UK.
Qin J; TWI Ltd., Granta Park, Great Abington, Cambridge CB21 6AL, UK.

Sensors (Basel) ; 23(21)2023 Oct 24.

Article em En | MEDLINE | ID: mdl-37960387

Palavras-chave

artificial neural networks; beam characterisation; computational fluid dynamics modelling; electron beam welding; machine learning; penetration depth prediction

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article