BR112022023698A2 - Método de geração de modelo de previsão de resistência de colapso de tubo de aço, método de previsão de resistência de colapso de tubo de aço, método de determinação de características de fabricação de tubo de aço e método de fabricação de tubo de aço - Google Patents

Método de geração de modelo de previsão de resistência de colapso de tubo de aço, método de previsão de resistência de colapso de tubo de aço, método de determinação de características de fabricação de tubo de aço e método de fabricação de tubo de aço

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Publication number
BR112022023698A2
BR112022023698A2 BR112022023698A BR112022023698A BR112022023698A2 BR 112022023698 A2 BR112022023698 A2 BR 112022023698A2 BR 112022023698 A BR112022023698 A BR 112022023698A BR 112022023698 A BR112022023698 A BR 112022023698A BR 112022023698 A2 BR112022023698 A2 BR 112022023698A2
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Brazil
Prior art keywords
steel pipe
steel
forming
prediction model
collapse
Prior art date
Application number
BR112022023698A
Other languages
English (en)
Inventor
Sakimoto Takahiro
Tajika Hisakazu
Handa Tsunehisa
Original Assignee
Jfe Steel Corp
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Publication date
Application filed by Jfe Steel Corp filed Critical Jfe Steel Corp
Publication of BR112022023698A2 publication Critical patent/BR112022023698A2/pt

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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/027—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21C—MANUFACTURE OF METAL SHEETS, WIRE, RODS, TUBES OR PROFILES, OTHERWISE THAN BY ROLLING; AUXILIARY OPERATIONS USED IN CONNECTION WITH METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL
    • B21C37/00—Manufacture of metal sheets, bars, wire, tubes or like semi-manufactured products, not otherwise provided for; Manufacture of tubes of special shape
    • B21C37/06—Manufacture of metal sheets, bars, wire, tubes or like semi-manufactured products, not otherwise provided for; Manufacture of tubes of special shape of tubes or metal hoses; Combined procedures for making tubes, e.g. for making multi-wall tubes
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21C—MANUFACTURE OF METAL SHEETS, WIRE, RODS, TUBES OR PROFILES, OTHERWISE THAN BY ROLLING; AUXILIARY OPERATIONS USED IN CONNECTION WITH METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL
    • B21C37/00—Manufacture of metal sheets, bars, wire, tubes or like semi-manufactured products, not otherwise provided for; Manufacture of tubes of special shape
    • B21C37/06—Manufacture of metal sheets, bars, wire, tubes or like semi-manufactured products, not otherwise provided for; Manufacture of tubes of special shape of tubes or metal hoses; Combined procedures for making tubes, e.g. for making multi-wall tubes
    • B21C37/08—Making tubes with welded or soldered seams
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/08—Investigating strength properties of solid materials by application of mechanical stress by applying steady tensile or compressive forces
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0014—Type of force applied
    • G01N2203/0016—Tensile or compressive
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0058—Kind of property studied
    • G01N2203/006—Crack, flaws, fracture or rupture
    • G01N2203/0067—Fracture or rupture
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0058—Kind of property studied
    • G01N2203/0069—Fatigue, creep, strain-stress relations or elastic constants
    • G01N2203/0075—Strain-stress relations or elastic constants
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/02—Details not specific for a particular testing method
    • G01N2203/0202—Control of the test
    • G01N2203/0212—Theories, calculations
    • G01N2203/0216—Finite elements
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/02—Details not specific for a particular testing method
    • G01N2203/026—Specifications of the specimen
    • G01N2203/0262—Shape of the specimen
    • G01N2203/0274—Tubular or ring-shaped specimens
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/02—Details not specific for a particular testing method
    • G01N2203/026—Specifications of the specimen
    • G01N2203/0298—Manufacturing or preparing specimens
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/32—Operator till task planning
    • G05B2219/32193—Ann, neural base quality management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Mechanical Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Geometry (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • Computing Systems (AREA)
  • Biochemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Analytical Chemistry (AREA)
  • Computer Hardware Design (AREA)
  • Automation & Control Theory (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Quality & Reliability (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Manufacturing & Machinery (AREA)
  • Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

MÉTODO DE GERAÇÃO DE MODELO DE PREVISÃO DE RESISTÊNCIA DE COLAPSO DE TUBO DE AÇO, MÉTODO DE PREVISÃO DE RESISTÊNCIA DE COLAPSO DE TUBO DE AÇO, MÉTODO DE DETERMINAÇÃO DE CARACTERÍSTICAS DE FABRICAÇÃO DE TUBO DE AÇO E MÉTODO DE FABRICAÇÃO DE TUBO DE AÇO. São fornecidos um método de geração de modelo de previsão de resistência ao colapso de tubo de aço, um método de previsão de resistência ao colapso de tubo de aço, um método de determinação de características de fabricação de tubo de aço e um método de fabricação de tubo de aço capaz de prever com alta precisão a resistência ao colapso de um tubo de aço após a formação do tubo de aço ou um tubo de aço revestido em consideração à deformação de produção do tubo durante a formação do tubo de aço. Em um modelo de previsão de resistência ao colapso de tubo de aço gerado pelo método de geração de modelo de previsão de resistência ao colapso de tubo de aço, características de fabricação de tubo de aço, incluindo o formato de tubo de aço de um tubo de aço a ser previsto após a formação do tubo de aço, características de resistência do tubo de aço após a formação do tubo de aço, e a deformação de produção do tubo durante a formação do tubo de aço são inseridas para prever a resistência ao colapso do tubo de aço após a formação do tubo de aço (etapa S1 a etapa S5). Em um modelo de previsão de resistência ao colapso de tubo de aço gerado pelo método de geração de modelo de previsão de resistência ao colapso de tubo de aço, características de fabricação de tubo de aço, incluindo o formato de tubo de aço de um tubo de aço revestido a ser previsto após a formação do tubo de aço, características de resistência do tubo de aço após a formação do tubo de aço, a deformação de produção do tubo durante a formação do tubo de aço e as condições de revestimento são inseridas para prever a resistência ao colapso do tubo de aço revestido (etapa S11 a etapa S15).
BR112022023698A 2020-05-26 2021-02-08 Método de geração de modelo de previsão de resistência de colapso de tubo de aço, método de previsão de resistência de colapso de tubo de aço, método de determinação de características de fabricação de tubo de aço e método de fabricação de tubo de aço BR112022023698A2 (pt)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2020091127 2020-05-26
PCT/JP2021/004588 WO2021240900A1 (ja) 2020-05-26 2021-02-08 鋼管圧潰強度予測モデルの生成方法、鋼管の圧潰強度予測方法、鋼管の製造特性決定方法、及び鋼管の製造方法

Publications (1)

Publication Number Publication Date
BR112022023698A2 true BR112022023698A2 (pt) 2022-12-20

Family

ID=78744252

Family Applications (1)

Application Number Title Priority Date Filing Date
BR112022023698A BR112022023698A2 (pt) 2020-05-26 2021-02-08 Método de geração de modelo de previsão de resistência de colapso de tubo de aço, método de previsão de resistência de colapso de tubo de aço, método de determinação de características de fabricação de tubo de aço e método de fabricação de tubo de aço

Country Status (7)

Country Link
US (1) US20230191466A1 (pt)
EP (1) EP4160182A4 (pt)
JP (1) JP7103514B2 (pt)
KR (1) KR20230002856A (pt)
CN (1) CN115667875A (pt)
BR (1) BR112022023698A2 (pt)
WO (1) WO2021240900A1 (pt)

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH06259107A (ja) * 1993-03-02 1994-09-16 Kobe Steel Ltd プロセスラインにおける学習制御方法
JP2001349883A (ja) * 2000-06-09 2001-12-21 Hitachi Metals Ltd 金属材料の特性予測方法
US7132617B2 (en) 2002-02-20 2006-11-07 Daimlerchrysler Corporation Method and system for assessing quality of spot welds
EP1541252B1 (en) * 2002-05-24 2011-05-18 Nippon Steel Corporation Uoe steel pipe with excellent crash resistance, and method of manufacturing the uoe steel pipe
CN101701315B (zh) 2009-10-30 2011-06-08 中海石油金洲管道有限公司 海底管线钢管的制造方法
JP5983527B2 (ja) * 2013-05-13 2016-08-31 Ｊｆｅスチール株式会社 鋼板の曲げ加工後における、加工方向と直交する方向の引張特性の推定方法
JP5776860B1 (ja) 2013-08-30 2015-09-09 新日鐵住金株式会社 耐サワー性、耐圧潰特性及び低温靭性に優れた厚肉高強度ラインパイプ用鋼板とラインパイプ
CA3038483A1 (en) 2016-10-18 2018-04-26 Nippon Steel & Sumitomo Metal Corporation Collapse strength prediction method

Also Published As

Publication number Publication date
JPWO2021240900A1 (pt) 2021-12-02
KR20230002856A (ko) 2023-01-05
EP4160182A4 (en) 2023-11-22
WO2021240900A1 (ja) 2021-12-02
EP4160182A1 (en) 2023-04-05
CN115667875A (zh) 2023-01-31
US20230191466A1 (en) 2023-06-22
JP7103514B2 (ja) 2022-07-20

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