Prediction of micro-hardness in thread rolling of St37 by convolutional neural networks and transfer learning

This study introduces a non-destructive method by applying convolutional neural networks (CNN) to predict the micro-hardness of the thread-rolled steel. Material microstructure images were collected for our research, and micro-hardness tests were conducted to label the extracted microstructure image...

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Detalles Bibliográficos
Autores principales: Soleymani, Mehdi, Khoshnevisan, Mohammad, Davoodi, Behnam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646279/
https://www.ncbi.nlm.nih.gov/pubmed/36407575
http://dx.doi.org/10.1007/s00170-022-10355-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646279/
https://www.ncbi.nlm.nih.gov/pubmed/36407575
http://dx.doi.org/10.1007/s00170-022-10355-4

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