KR20250168269A - 제조 조건 선정 방법, 재료의 제조 방법, 제조 조건 선정 장치 및 프로그램 - Google Patents

제조 조건 선정 방법, 재료의 제조 방법, 제조 조건 선정 장치 및 프로그램

Info

Publication number
KR20250168269A
KR20250168269A KR1020257032937A KR20257032937A KR20250168269A KR 20250168269 A KR20250168269 A KR 20250168269A KR 1020257032937 A KR1020257032937 A KR 1020257032937A KR 20257032937 A KR20257032937 A KR 20257032937A KR 20250168269 A KR20250168269 A KR 20250168269A
Authority
KR
South Korea
Prior art keywords
predicted
manufacturing
value
characteristic value
initial data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
KR1020257032937A
Other languages
English (en)
Korean (ko)
Inventor
나오야 기요카네
시게히로 다카조
신 이시카와
Original Assignee
제이에프이 스틸 가부시키가이샤
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 제이에프이 스틸 가부시키가이샤 filed Critical 제이에프이 스틸 가부시키가이샤
Publication of KR20250168269A publication Critical patent/KR20250168269A/ko
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C60/00—Computational materials science, i.e. ICT specially adapted for investigating the physical or chemical properties of materials or phenomena associated with their design, synthesis, processing, characterisation or utilisation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/10—Analysis or design of chemical reactions, syntheses or processes
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/70—Machine learning, data mining or chemometrics
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/30—Prediction of properties of chemical compounds, compositions or mixtures

Landscapes

  • Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Chemical & Material Sciences (AREA)
  • Crystallography & Structural Chemistry (AREA)
  • Health & Medical Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Analytical Chemistry (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • General Factory Administration (AREA)
KR1020257032937A 2023-06-05 2024-05-28 제조 조건 선정 방법, 재료의 제조 방법, 제조 조건 선정 장치 및 프로그램 Pending KR20250168269A (ko)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
JP2023092719 2023-06-05
JPJP-P-2023-092719 2023-06-05
PCT/JP2024/019602 WO2024252992A1 (ja) 2023-06-05 2024-05-28 製造条件選定方法、材料の製造方法、製造条件選定装置及びプログラム

Publications (1)

Publication Number Publication Date
KR20250168269A true KR20250168269A (ko) 2025-12-02

Family

ID=93795899

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020257032937A Pending KR20250168269A (ko) 2023-06-05 2024-05-28 제조 조건 선정 방법, 재료의 제조 방법, 제조 조건 선정 장치 및 프로그램

Country Status (6)

Country Link
EP (1) EP4682894A1 (https=)
JP (1) JPWO2024252992A1 (https=)
KR (1) KR20250168269A (https=)
CN (1) CN121241398A (https=)
MX (1) MX2025014069A (https=)
WO (1) WO2024252992A1 (https=)

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2021101465A (ja) 2019-09-05 2021-07-08 国立大学法人東京工業大学 作製評価システム、作製評価方法及びプログラム

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020152750A1 (ja) * 2019-01-21 2020-07-30 Ｊｆｅスチール株式会社 金属材料の設計支援方法、予測モデルの生成方法、金属材料の製造方法、及び設計支援装置
JP7283499B2 (ja) * 2020-07-07 2023-05-30 Ｊｆｅスチール株式会社 製造仕様決定支援装置、製造仕様決定支援方法、コンピュータプログラムおよびコンピュータ読み取り可能な記録媒体
JP2022128960A (ja) * 2021-02-24 2022-09-05 富士通株式会社 情報処理方法、情報処理装置、及び情報処理プログラム
EP4404213B1 (en) * 2021-09-15 2026-04-22 National University Corporation Tokyo University Of Agriculture and Technology Data assimilation device, data assimilation method, data assimilation program, and data assimilation system
JP7201763B1 (ja) * 2021-09-17 2023-01-10 株式会社神戸製鋼所 試作支援システム、及び、量産支援システム

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2021101465A (ja) 2019-09-05 2021-07-08 国立大学法人東京工業大学 作製評価システム、作製評価方法及びプログラム

Also Published As

Publication number Publication date
WO2024252992A1 (ja) 2024-12-12
MX2025014069A (es) 2026-01-07
CN121241398A (zh) 2025-12-30
JPWO2024252992A1 (https=) 2024-12-12
EP4682894A1 (en) 2026-01-21

Similar Documents

Publication Publication Date Title
Collin et al. Extending approximate Bayesian computation with supervised machine learning to infer demographic history from genetic polymorphisms using DIYABC Random Forest
US11475317B2 (en) Microalloyed steel mechanical property prediction method based on globally additive model
CN110321658B (zh) 一种板材性能的预测方法及装置
EP4310719A1 (en) Material characteristics prediction method and model generation method
EP3913635A1 (en) Metal material design support method and design support device
KR101851367B1 (ko) 신용도를 평가하는 방법, 장치 및 컴퓨터 판독 가능한 기록 매체
Li et al. Physical metallurgy guided industrial big data analysis system with data classification and property prediction
CN116612814A (zh) 基于回归模型的基因样本污染批量检测方法、装置、设备及介质
JP2017120640A (ja) 電磁鋼板の磁気特性予測装置及び磁気特性制御装置
Klimczak et al. Inverse problem in stochastic approach to modelling of microstructural parameters in metallic materials during processing
Veeresham et al. Utilizing an intelligent machine learning strategy for predicting the tensile strength and ductility properties of nitrogen doped CoCrFeMnNi based high entropy alloys
Zhang et al. Characterisation of microstructure evolution during creep of P91 steel using the electron backscatter diffraction technique
Shabani et al. Data-driven prediction of ultimate tensile strength in low alloy steel: A machine learning approach
Bhardwaj et al. A unified creep and fatigue life prediction approach for 316 austenitic stainless steel using machine and deep learning
KR20250168269A (ko) 제조 조건 선정 방법, 재료의 제조 방법, 제조 조건 선정 장치 및 프로그램
US8166064B2 (en) Identifying patterns of significance in numeric arrays of data
JP2020128975A (ja) 予測モデルの生成方法、金属材料の腐食量予測方法、予測モデルの生成プログラムおよび予測モデルの生成装置
Chen et al. Data-driven feature engineering and machine learning: Predicting the ductile-to-brittle transition temperature of pure chromium at the macroscale
Podgornik et al. Residual stress field analysis and prediction in nitrided tool steel
JP7146127B1 (ja) 高強度鋼板の製造方法
CN106251044B (zh) 多批次成败型试验下产品贮存期评估的Buehler方法
Qiao et al. Machine-learning approach to predict work hardening behavior of pearlitic steel
Bachniak et al. Selection of the optimization method for identification of phase transformation models for steels
Klopov et al. Approach to finding material with increased long-term strength using mechanical creep model, machine learning and optimization algorithm
KR102754611B1 (ko) 딥러닝 기반 발전 설비 부품 소재 물리적 특성 예측 시스템 및 방법

Legal Events

Date Code Title Description
D11 Substantive examination requested

Free format text: ST27 STATUS EVENT CODE: A-1-2-D10-D11-EXM-PA0201 (AS PROVIDED BY THE NATIONAL OFFICE)

P11 Amendment of application requested

Free format text: ST27 STATUS EVENT CODE: A-2-2-P10-P11-NAP-X000 (AS PROVIDED BY THE NATIONAL OFFICE)

P11-X000 Amendment of application requested

St.27 status event code: A-2-2-P10-P11-nap-X000

P13 Application amended

Free format text: ST27 STATUS EVENT CODE: A-2-2-P10-P13-NAP-X000 (AS PROVIDED BY THE NATIONAL OFFICE)

P13-X000 Application amended

St.27 status event code: A-2-2-P10-P13-nap-X000

PA0105 International application

St.27 status event code: A-0-1-A10-A15-nap-PA0105

PA0201 Request for examination

St.27 status event code: A-1-2-D10-D11-exm-PA0201

PG1501 Laying open of application

St.27 status event code: A-1-1-Q10-Q12-nap-PG1501

Q12 Application published

Free format text: ST27 STATUS EVENT CODE: A-1-1-Q10-Q12-NAP-PG1501 (AS PROVIDED BY THE NATIONAL OFFICE)