Neural network based toughness prediction in HAZ of low alloy steel produced by temper bead welding repair technology-Reference-Cited by-同舟云学术

Neural network based toughness prediction in HAZ of low alloy steel produced by temper bead welding repair technology

Published:2013-02 Issue:2 Volume:18 Page:120-134
ISSN:1362-1718
Container-title:Science and Technology of Welding and Joining
language:en
Short-container-title:Science and Technology of Welding and Joining

Author:

Yu L,SaSa M,Ohnishi K,Kameyama M,Hirano S,Chigusa N,Sera T,Saida K,Mochizuki M,Nishimoto K

Publisher

Informa UK Limited

Subject

Condensed Matter Physics,General Materials Science

Link

http://www.tandfonline.com/doi/pdf/10.1179/1362171812Y.0000000091

Reference19 articles.

1. Recent developments in repair welding technologies in Japan

2. Distribution of toughness in HAZ of multi-pass welded high strength steel - Study on distribution of microstructure and toughness in multi-pass weld HAZ (Report 2)

3. Mizuno R, Brziak P, Lomozik M, Matsuda F: ‘Appropriate welding conditions of temper bead weld repair for SQV2A pressure vessel steel’, Proc. 30th MPA-Sem. in conjunction with the 9th German-Japanese Sem., Stuttgart, Germany, October 2004, MPA, 7·1–7·9.

4. Prediction of welding residual stress in multi-pass butt-welded modified 9Cr–1Mo steel pipe considering phase transformation effects

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

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