文献
J-GLOBAL ID:201402255158393697
整理番号:14A0166681
テンパービード溶接補修技術のHAZ中の硬度と靭性のニューラルネットワーク予測
Neural network-based hardness and toughness prediction in HAZ of temper bead welding repair technology
著者 (10件):
YU Lina
(Graduate School of Engineering, Osaka University, Japan)
,
SASA Masato
(Graduate School of Engineering, Osaka University, Japan)
,
OHNISHI Kenta
(Graduate School of Engineering, Osaka University, Japan)
,
KAMEYAMA Masashi
(Japan Power Engineering and Inspection Corporation, Japan)
,
HIRANO Shinro
(The Kansai Electric Power Co., Inc., Japan)
,
CHIGUSA Naoki
(The Kansai Electric Power Co., Inc., Japan)
,
SERA Takehiko
(The Kansai Electric Power Co., Inc., Japan)
,
SAIDA Kazuyoshi
(Graduate School of Engineering, Osaka University, Japan)
,
MOCHIZUKI Masahito
(Graduate School of Engineering, Osaka University, Japan)
,
NISHIMOTO Kazutoshi
(Graduate School of Engineering, Osaka University, Japan)
資料名:
溶接学会論文集(Web)
巻:
31
号:
4
ページ:
173S-177S (J-STAGE)
発行年:
2013年
JST資料番号:
U0047A
ISSN:
0288-4771
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
日本 (JPN)
言語:
英語 (EN)