A detection model for corner cracks of continuous casting strand based on deep learning-Reference-Cited by-同舟云学术

A detection model for corner cracks of continuous casting strand based on deep learning

Published:2022-06-13 Issue:10 Volume:49 Page:1048-1056
ISSN:0301-9233
Container-title:Ironmaking & Steelmaking
language:en
Short-container-title:Ironmaking & Steelmaking

Author:

Meng Xiaoliang¹²,Luo Sen¹²,Wang Weiling¹²,Zhu Miaoyong¹²

Affiliation:

1. Key Laboratory for Ecological Metallurgy of Multimetallic Mineral (Ministry of Education), Northeastern University, Shenyang, People’s Republic of China

2. School of Metallurgy, Northeastern University, Shenyang, People’s Republic of China

Funder

National Natural Science Foundation of China

Liao Ning Revitalization Talents Program

Publisher

Informa UK Limited

Subject

Materials Chemistry,Metals and Alloys,Mechanical Engineering,Mechanics of Materials

Link

https://www.tandfonline.com/doi/pdf/10.1080/03019233.2022.2078262

Reference23 articles.

1. The World Steel Association (worldsteel). 2021 world steel in figures. [accessed June 2021]. Available at https://worldsteel.org/wp-content/uploads/2021-World-Steel-in-Figures.pdf.

2. Semi-supervised defect classification of steel surface based on multi-training and generative adversarial network

3. An automatic surface defect detection system for hot ingot casting slabs using an infrared scanning camera and image processors.

4. A steel surface defect inspection approach towards smart industrial monitoring

5. Automatic Defect Detection on Hot-Rolled Flat Steel Products

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