Mechanical Properties Prediction of Gray Cast Iron Considering Trace Elements Based on Deep Learning-Reference-Cited by-同舟云学术

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Mechanical Properties Prediction of Gray Cast Iron Considering Trace Elements Based on Deep Learning

Published:2020-01-01 Issue:1 Volume:61 Page:176-180
ISSN:1345-9678
Container-title:MATERIALS TRANSACTIONS
language:en
Short-container-title:Mater. Trans.

Author:

Shirai Masato¹,Yamada Hiroshi²

Affiliation:

1. Institute of Science and Engineering, Academic Assembly, Shimane University

2. O-M Ltd.

Publisher

Japan Institute of Metals

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Link

https://www.jstage.jst.go.jp/article/matertrans/61/1/61_F-M2019855/_pdf

Reference11 articles.

1. 1) H. Nakae: Chuutetsu no Zaishitsu, (Japan Foundry Engineering Society, Tokyo, 2012) p. 24.

2. 2) T. Kowata, Y. Lei, S. Hiratsuka and S. Fujishima: J. JFS 89 (2017) 689–694.

3. 3) T. Kanno and I. Kang: J. JFS 85 (2013) 414–419.

4. 4) H. Horie, S. Hiratsuka and T. Kowata: J. JFS 84 (2012) 687–692.

5. 5) H. Horie: J. JFS 68 (1996) 1056–1062.

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1. Prediction of Hardness of Cast Iron Using Intelligent Tools;Lecture Notes in Mechanical Engineering;2024

2. Tensile Strength Prediction of Gray Cast Iron for Cylinder Head Based on Microstructure and Machine Learning;steel research international;2023-10-22

3. Fatigue Life Prediction of Gray Cast Iron for Cylinder Head Based on Microstructure and Machine Learning;Acta Metallurgica Sinica (English Letters);2023-05-24

4. Machine Learning Approaches for Monitoring of Tool Wear during Grey Cast-Iron Turning;Materials;2022-06-20

5. Classification of Mechanical Properties of Aluminum Foam by Machine Learning;MATERIALS TRANSACTIONS;2022-02-01

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