Cavitation Damage Prediction of Stainless Steels Using an Artificial Neural Network Approach

Cavitation damage has not been well predicted because of its complex relationship of many mechanical and microstructural factors. An artificial neural network approach of the back-propagation network was used to predict cavitation damage of stainless steels, 316L and 420, in terms of the significant...

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Main Authors: Guiyan Gao, Zheng Zhang, Cheng Cai, Jianglong Zhang, Baohua Nie
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2019-04-01
Colecção:Metals
Assuntos:
artificial neural network
cavitation damage
residual stress
Acesso em linha:https://www.mdpi.com/2075-4701/9/5/506
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