Neural Network Prediction of Hardness in HAZ of Temper Bead Welding Using the Proposed Thermal Cycle Tempering Parameter (TCTP)-Reference-Cited by-同舟云学术

Neural Network Prediction of Hardness in HAZ of Temper Bead Welding Using the Proposed Thermal Cycle Tempering Parameter (TCTP)

Published:2011 Issue:9 Volume:51 Page:1506-1515
ISSN:0915-1559
Container-title:ISIJ International
language:en
Short-container-title:ISIJ Int.

Author:

Yu Lina¹,Nakabayashi Yuma¹,Sasa Masato¹,Itoh Shinsuke¹,Kameyama Masashi²,Hirano Shinro³,Chigusa Naoki³,Saida Kazuyoshi¹,Mochizuki Masahito¹,Nishimoto Kazutoshi¹

Affiliation:

1. Division of Materials and Manufacturing Science, Graduate School of Engineering, Osaka University

2. Japan Power Engineering and Inspection Corporation

3. The Kansai Electric Power Co., Inc.

Publisher

Iron and Steel Institute of Japan

Subject

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

Link

https://www.jstage.jst.go.jp/article/isijinternational/51/9/51_9_1506/_pdf

Reference24 articles.

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2. 2) Y. Nakao, H.Oshigea and S. Q. Noi: J. Jpn. Weld. Soc., 3–4 (1985), 773 [in Japanese].

3. 3) R. Mizuno, P. Brziak, M. Lomozik and F. Matsuda: 30th MPA-Seminar in conjunction with the 9th German-Japanese Seminar Stuttgart, (2004), 7.1–7.9.

4. 4) D. Deng and H. Murakawa: Comput. Mater. Sci., 37 (2006), 209.

5. 5) N. Yurioka and Y. Horii: Sci. Technol. Weld. Joining, 11 (2006), 255.

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