Creep Life Predictions by Machine Learning Methods for Ferritic Heat Resistant Steels-Reference-Cited by-同舟云学术

Creep Life Predictions by Machine Learning Methods for Ferritic Heat Resistant Steels

Published:2022 Issue:7 Volume:108 Page:424-437
ISSN:0021-1575
Container-title:Tetsu-to-Hagane
language:en
Short-container-title:Tetsu-to-Hagane

Author:

Sakurai Junya¹,Demura Masahiko²,Inoue Junya¹,Yamazaki Masayoshi²

Affiliation:

1. Institute of Industrial Science, The University of Tokyo

2. Research and Services Division of Materials Data and Integrated System, National Institute for Materials Science

Publisher

Iron and Steel Institute of Japan

Subject

Materials Chemistry,Metals and Alloys,Physical and Theoretical Chemistry,Condensed Matter Physics

Link

https://www.jstage.jst.go.jp/article/tetsutohagane/108/7/108_TETSU-2022-003/_pdf

Reference28 articles.

1. 1) S.Yokoi and Y.Monma: Tetsu-to-Hagané, 65(1979), 831 (in Japanese). https://doi.org/10.2355/tetsutohagane1955.65.7_831

2. 2) K.Maruyama and H.Nakashima: Kouon Kyoudo no Zairyou Kagaku (Materials Science on High-temperature Strength), Uchida Rokakuho Publishing, (2002), 251 (in Japanese).

3. 3) C.R.Ensign and S.S.Manson: A Specialized Model for Analysis of Creep-Rupture Data by the Minimum Commitment, Station-function Approach, Technical Report NASA TM-X-52999, NASA, Washington D.C., (1971).

4. 4) K.Maruyama and H.Nakashima: Kouon Kyoudo no Zairyou Kagaku (Materials Science on High-temperature Strength), Uchida Rokakuho Publishing, (2002), 111 (in Japanese).

5. 5) F.Brun, T.Yoshida, J.D.Robson, V.Narayan, H.K.D.H.Bhadeshia and D.J.C.MacKay: Mater. Sci. Technol., 15(1999), 547. https://doi.org/10.1179/026708399101506085

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