ニューラルネットワークを用いたコンシステントレイヤ法テンパービード溶接熱影響部の靭性予測

佐々 正登; 于 麗娜; 大西 健太; 亀山 雅司; 平野 伸朗; 千種 直樹; 才田 一幸; 望月 正人; 西本 和俊

doi:10.14920/jwstaikai.2012s.0.56.0

Preprints of the National Meeting of JWS

Session ID : 206

DOI https://doi.org/10.14920/jwstaikai.2012s.0.56.0

Conference information

Host: Japan Welding Society

Prediction of Toughness in HAZ produced by Consistent Layer Technique Temper Bead Welding using Neural Network

*Masato Sasa, Lina Yu, Kenta Ohnishi, Masashi Kameyama, Shinro Hirano, Naoki Chigusa, Kazuyoshi Saida, Masahito Mochizuki, Kazutoshi Nishimoto

Author information

*Masato Sasa
Graduate School of Engineering, Osaka University, Japan
Lina Yu
Graduate School of Engineering, Osaka University, Japan
Kenta Ohnishi
Graduate School of Engineering, Osaka University, Japan
Masashi Kameyama
Japan Power Engineering and Inspection Corporation, Japan
Shinro Hirano
The Kansai Electric Power Co., Inc., Japan
Naoki Chigusa
The Kansai Electric Power Co., Inc., Japan
Kazuyoshi Saida
Graduate School of Engineering, Osaka University, Japan
Masahito Mochizuki
Graduate School of Engineering, Osaka University, Japan
Kazutoshi Nishimoto
Graduate School of Engineering, Osaka University, Japan

Keywords: neural network, temper bead welding, low-alloy steel, heat affected zone, toughness

CONFERENCE PROCEEDINGS FREE ACCESS

Details

Abstract

Prediction system of toughness has been proposed for heat affected zone of temper bead welding using neural network. It is found that the predicted toughness calculated by this system is in a good agreement with the measured results.

Corresponding author

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