Title:
金属材料の腐食量予測モデルの生成方法、金属材料の腐食量予測方法、金属材料の選定方法、金属材料の腐食量予測プログラムおよび金属材料の腐食量予測装置
Document Type and Number:
Japanese Patent JP6939995
Kind Code:
B2
Abstract:
This method for generating a corrosion level prediction model comprises a learning step for generating a prediction model for predicting the corrosion level of a metallic material in accordance with usage duration, by means of machine learning using data including: a plurality of environmental parameters indicating the environment in which a metallic material is used; the corrosion level of the metallic material; and the usage duration of the metallic material.
Inventors:
Kazuhiro Nakatsuji
Masataka Oda
Daisuke Mizuno
Yamaguchi
Masataka Oda
Daisuke Mizuno
Yamaguchi
Application Number:
JP2020522089A
Publication Date:
September 22, 2021
Filing Date:
January 09, 2020
Export Citation:
Assignee:
jfe Steel Corporation
International Classes:
G01N17/00
Domestic Patent References:
| JP10021211A | ||||
| JP2006053122A | ||||
| JP3909057B2 | ||||
| JP2012008152A | ||||
| JP2012251846A |
Other References:
片山英樹,機械学習による炭素鋼の大気腐食挙動解析,材料と環境討論会講演集,日本,2018年10月12日,Vol.65th,Page.347-348
Attorney, Agent or Firm:
Sakai International Patent Office