Automatic steel labeling on certain microstructural constituents with image processing and machine learning tools-Reference-Cited by-同舟云学术

Automatic steel labeling on certain microstructural constituents with image processing and machine learning tools

Published:2019-06-05 Issue:1 Volume:20 Page:532-542
ISSN:1468-6996
Container-title:Science and Technology of Advanced Materials
language:en
Short-container-title:Science and Technology of Advanced Materials

Author:

Bulgarevich Dmitry S.¹,Tsukamoto Susumu¹,Kasuya Tadashi²,Demura Masahiko¹,Watanabe Makoto¹²

Affiliation:

1. Research and Services Division of Materials Data and Integrated System, National Institute for Materials Science, Tsukuba, Japan

2. School of Engineering, The University of Tokyo, Tokyo, Japan

Funder

“Materials Integration for Revolutionary Design System of Structural Materials”

Council for Science, Technology and Innovation (CSTI), Cross-ministerial Strategic Innovation Promotion Program (SIP), “Structural Materials for Innovation”

Publisher

Informa UK Limited

Subject

General Materials Science

Link

https://tandfonline.com/doi/pdf/10.1080/14686996.2019.1610668

Reference26 articles.

1. Influence of bainite/martensite-content on the tensile properties of low carbon dual-phase steels

2. Influence of martensite volume fraction on tensile properties of triple phase ferrite–bainite–martensite steels

3. Pattern recognition with machine learning on optical microscopy images of typical metallurgical microstructures

4. Materials discovery and design using machine learning

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