US 12,465,967 B2
Steel pipe collapse strength prediction model generation method, steel pipe collapse strength prediction method, steel pipe manufacturing characteristics determination method, and steel pipe manufacturing method
Takahiro Sakimoto, Tokyo (JP); Hisakazu Tajika, Tokyo (JP); and Tsunehisa Handa, Tokyo (JP)
Assigned to JFE STEEL CORPORATION, Tokyo (JP)
Appl. No. 17/925,762
Filed by JFE STEEL CORPORATION, Tokyo (JP)
PCT Filed Feb. 8, 2021, PCT No. PCT/JP2021/004588
§ 371(c)(1), (2) Date Nov. 16, 2022,
PCT Pub. No. WO2021/240900, PCT Pub. Date Dec. 2, 2021.
Claims priority of application No. 2020-091127 (JP), filed on May 26, 2020.
Prior Publication US 2023/0191466 A1, Jun. 22, 2023
Int. Cl. B21C 37/08 (2006.01); B21C 37/06 (2006.01); G01N 3/00 (2006.01); G01N 3/08 (2006.01); G05B 13/02 (2006.01); G05B 19/418 (2006.01); G06F 30/10 (2020.01); G06F 30/27 (2020.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06N 20/00 (2019.01)
CPC B21C 37/08 (2013.01) [B21C 37/06 (2013.01); G01N 3/00 (2013.01); G01N 3/08 (2013.01); G01N 2203/0016 (2013.01); G01N 2203/0067 (2013.01); G01N 2203/0075 (2013.01); G01N 2203/0216 (2013.01); G01N 2203/0274 (2013.01); G01N 2203/0298 (2013.01); G05B 13/027 (2013.01); G05B 19/41875 (2013.01); G05B 2219/32193 (2013.01); G06F 30/10 (2020.01); G06F 30/27 (2020.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01)] 8 Claims
OG exemplary drawing
 
1. A steel pipe manufacturing method comprising:
performing machine learning of a plurality of learning data that include, as an input datum, a previous steel pipe manufacturing characteristic including a steel pipe shape after steel pipe forming, a steel pipe strength characteristic after steel pipe forming, and a pipe-making strain during steel pipe forming and, as an output datum for the input datum, a previous collapse strength of a steel pipe after steel pipe forming, to generate a steel pipe collapse strength prediction model that predicts a steel pipe collapse strength after steel pipe forming;
forming a steel pipe;
predicting a collapse strength of the formed steel pipe by inputting, into the steel pipe collapse strength prediction model, a steel pipe manufacturing characteristic including a steel pipe shape of the formed steel pipe, a steel pipe strength characteristic of the formed steel pipe, and a pipe-making strain during steel pipe forming, to predict a steel pipe collapse strength of the formed steel pipe; and
assigning the predicted steel pipe collapse strength to the formed steel pipe.