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1. WO2022009575 - STEEL PIPE ROUNDNESS PREDICTION MODEL GENERATION METHOD, STEEL PIPE ROUNDNESS PREDICTION METHOD, STEEL PIPE ROUNDNESS CONTROL METHOD, STEEL PIPE MANUFACTURING METHOD, AND STEEL PIPE ROUNDNESS PREDICTION DEVICE

Publication Number WO/2022/009575
Publication Date 13.01.2022
International Application No. PCT/JP2021/021415
International Filing Date 04.06.2021
IPC
B21D 5/01 2006.1
BPERFORMING OPERATIONS; TRANSPORTING
21MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
DWORKING OR PROCESSING OF SHEET METAL OR METAL TUBES, RODS OR PROFILES WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
5Bending sheet metal along straight lines, e.g. to form simple curves
01between rams and anvils or abutments
B21D 39/20 2006.1
BPERFORMING OPERATIONS; TRANSPORTING
21MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
DWORKING OR PROCESSING OF SHEET METAL OR METAL TUBES, RODS OR PROFILES WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
39Application of procedures in order to connect objects or parts, e.g. coating with sheet metal otherwise than by plating; Tube expanders
08Tube expanders
20with mandrels, e.g. expandable
G05B 23/02 2006.1
GPHYSICS
05CONTROLLING; REGULATING
BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
23Testing or monitoring of control systems or parts thereof
02Electric testing or monitoring
B23K 9/025 2006.1
BPERFORMING OPERATIONS; TRANSPORTING
23MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
KSOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
9Arc welding or cutting
02Seam welding; Backing means; Inserts
025for rectilinear seams
G06N 20/00 2019.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
CPC
B21D 39/20
BPERFORMING OPERATIONS; TRANSPORTING
21MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
DWORKING OR PROCESSING OF SHEET METAL OR METAL TUBES, RODS OR PROFILES WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
39Application of procedures in order to connect objects or parts, e.g. coating with sheet metal otherwise than by plating
08Tube expanders
20with mandrels, e.g. expandable
B21D 5/01
BPERFORMING OPERATIONS; TRANSPORTING
21MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
DWORKING OR PROCESSING OF SHEET METAL OR METAL TUBES, RODS OR PROFILES WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
5Bending sheet metal along straight lines, e.g. to form simple curves
01between rams and anvils or abutments
B23K 9/025
BPERFORMING OPERATIONS; TRANSPORTING
23MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
KSOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
9Arc welding or cutting
02Seam welding; Backing means; Inserts
025for rectilinear seams
G05B 23/02
GPHYSICS
05CONTROLLING; REGULATING
BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
23Testing or monitoring of control systems or parts thereof
02Electric testing or monitoring
G06N 20/00
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
Applicants
  • JFEスチール株式会社 JFE STEEL CORPORATION [JP]/[JP]
Inventors
  • 日当 洸介 HINATA, Kosuke
  • 堀江 正之 HORIE, Masayuki
  • 高嶋 由紀雄 TAKASHIMA, Yukio
Agents
  • 特許業務法人酒井国際特許事務所 SAKAI INTERNATIONAL PATENT OFFICE
Priority Data
2020-11887410.07.2020JP
Publication Language Japanese (ja)
Filing Language Japanese (JA)
Designated States
Title
(EN) STEEL PIPE ROUNDNESS PREDICTION MODEL GENERATION METHOD, STEEL PIPE ROUNDNESS PREDICTION METHOD, STEEL PIPE ROUNDNESS CONTROL METHOD, STEEL PIPE MANUFACTURING METHOD, AND STEEL PIPE ROUNDNESS PREDICTION DEVICE
(FR) PROCÉDÉ DE GÉNÉRATION DE MODÈLE DE PRÉDICTION DE RONDEUR DE TUYAU D'ACIER, PROCÉDÉ DE PRÉDICTION DE RONDEUR DE TUYAU D'ACIER, PROCÉDÉ DE COMMANDE DE RONDEUR DE TUYAU D'ACIER, PROCÉDÉ DE FABRICATION DE TUYAU D'ACIER ET DISPOSITIF DE PRÉDICTION DE RONDEUR DE TUYAU D'ACIER
(JA) 鋼管の真円度予測モデルの生成方法、鋼管の真円度予測方法、鋼管の真円度制御方法、鋼管の製造方法、及び鋼管の真円度予測装置
Abstract
(EN) A steel pipe roundness prediction model generation method according to the present invention involves: generating, as training data items in an offline manner, a plurality of sets of data each set of which is about steel pipe roundness after a pipe expansion step corresponding to an operation condition dataset, by executing a plurality of rounds of numerical calculation in each round of which the operation condition dataset is included in input data and the steel pipe roundness after the pipe expansion step is obtained as output data while changing the operation condition dataset; and generating, by machine learning in an offline manner, a roundness prediction model in which the operation condition dataset is included in input data and the steel pipe roundness after the pipe expansion step is obtained as output data, by using the plurality of the training data items.
(FR) Un procédé de génération de modèle de prédiction de rondeur de tuyau d'acier selon la présente invention consiste à : générer, en tant qu'éléments de données d'apprentissage d'une manière hors ligne, une pluralité d'ensembles de données, chaque ensemble concernant la rondeur de tuyau d'acier après une étape d'expansion de tuyau correspondant à un ensemble de données de conditions de fonctionnement, en exécutant une pluralité de cycles de calcul numérique, au cours de chaque cycle l'ensemble de données de conditions de fonctionnement étant inclus dans des données d'entrée et la rondeur de tuyau d'acier après l'étape d'expansion de tuyau étant incluse en tant que données de sortie tout en modifiant l'ensemble de données de conditions de fonctionnement ; et générer, par apprentissage automatique d'une manière hors ligne, un modèle de prédiction de rondeur, l'ensemble de données de conditions de fonctionnement étant inclus dans des données d'entrée et la rondeur de tuyau d'acier après l'étape d'expansion de tuyau étant obtenue en tant que données de sortie, au moyen de la pluralité d'éléments de données d'apprentissage.
(JA) 本発明に係る鋼管の真円度予測モデルの生成方法は、操業条件データセットを入力データに含み、拡管工程後の鋼管の真円度を出力データとする数値計算を、操業条件データセットを変更しながら複数回実行することにより、操業条件データセットと対応する拡管工程後の鋼管の真円度のデータの組を学習用データとしてオフラインで複数生成し、複数の学習用データを用いて、操業条件データセットを入力データ、拡管工程後の鋼管の真円度を出力データとする真円度予測モデルをオフラインで機械学習により生成する。
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