Application of neural network-based hardness prediction method to HAZ of A533B steel produced by laser temper bead welding-Reference-Cited by-同舟云学术

Application of neural network-based hardness prediction method to HAZ of A533B steel produced by laser temper bead welding

Published:2017-03-14 Issue:3 Volume:61 Page:483-498
ISSN:0043-2288
Container-title:Welding in the World
language:en
Short-container-title:Weld World

Author:

Yu Lina,Saida Kazuyoshi,Hirano Shinro,Chigusa Naoki,Mochizuki Masahito,Nishimoto Kazutoshi

Publisher

Springer Science and Business Media LLC

Subject

Metals and Alloys,Mechanical Engineering,Mechanics of Materials

Link

http://link.springer.com/content/pdf/10.1007/s40194-017-0433-1.pdf

Reference18 articles.

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2. Nakao Y, Oshige H, Noi S, Nishi Y (1985) Distribution of toughness in HAZ of multi-pass welded high strength steel. Q J Jpn Weld Soc 3:773–781

3. Yurioka N, Horii Y (2006) Recent developments in repair welding technologies in Japan. Sci Technol Weld Join 11:255–264

4. R. Mizuno, P. Brziak, M. Lomozik, F. Matsuda (2004) Appropriate welding conditions of temper bead weld repair for SQV2A pressure vessel steel. The 30th MPA-Seminar in conjunction with the 9th German-Japanese Seminar, Stuttgart, Germany, October, MPA 7.1–7.9

5. Deng D, Murakawa H (2006) Prediction of welding residual stress in multi-pass butt-welded modified 9Cr-1Mo steel pipe considering phase transformation effects. Comput Mater Sci 37:209–219

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