Research on Intelligent Identification and Grading of Nonmetallic Inclusions in Steels Based on Deep Learning

Non-metallic inclusions are unavoidable defects in steel, and their type, quantity, size, and distribution have a great impact on the quality of steel. At present, non-metallic inclusions are mainly detected manually, which features high work intensity, low efficiency, proneness to misjudgment, and...

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Detalles Bibliográficos
Autores principales: Zhu, Xiaolin, Wan, Wenhai, Qian, Ling, Cai, Yu, Chen, Xiang, Zhang, Pingze, Huang, Guanxi, Liu, Bo, Yao, Qiang, Li, Shaoyuan, Yao, Zhengjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9959681/
https://www.ncbi.nlm.nih.gov/pubmed/36838182
http://dx.doi.org/10.3390/mi14020482

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9959681/
https://www.ncbi.nlm.nih.gov/pubmed/36838182
http://dx.doi.org/10.3390/mi14020482

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