Metallographic Spheroidization Rate Classification by Using Deep Learning

Metallographic Spheroidization Rate Classification by Using Deep Learning

ABSTRACT In the steel manufacturing process, spheroidizing annealing is a crucial heat treatment step primarily aimed at improving the ductility and machinability of the material. Currently, the determination of the spheroidization rate in metals mainly relies on manual inspection through a microsco...

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Bibliographic Details
Main Authors: Lin Chiu‐Chin, Pei‐Hsuan Chiang, Ke‐Hao Chen, Yu‐Jen Pan, Chung‐Hsien Chen, Wang Yi‐Shun, Jen‐Chun Lee
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:Engineering Reports
Subjects:
deep learning
image classification
metallographic analysis
YOLOv8‐DFFN
Online Access:https://doi.org/10.1002/eng2.70081
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https://doi.org/10.1002/eng2.70081

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