Research on Automatic Identification and Rating of Ferrite–Pearlite Grain Boundaries Based on Deep Learning

Research on Automatic Identification and Rating of Ferrite–Pearlite Grain Boundaries Based on Deep Learning

Grain size has a significant effect on the mechanical properties of metals. It is very important to accurately rate the grain size number of steels. This paper presents a model for automatic detection and quantitative analysis of the grain size of ferrite–pearlite two-phase microstructure to segment...

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Bibliographic Details
Main Authors: Xiaolin Zhu, Yuhong Zhu, Cairong Kang, Mingqi Liu, Qiang Yao, Pingze Zhang, Guanxi Huang, Linning Qian, Zhitao Zhang, Zhengjun Yao
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Materials
Subjects:
grain size
grain boundary
segmentation
classification
intelligent rating
deep learning
Online Access:https://www.mdpi.com/1996-1944/16/5/1974

Internet

https://www.mdpi.com/1996-1944/16/5/1974

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