Furukawa Yoshiyuki 古川慈之

… Alternative Names

古川慈之フルカワヨシユキ

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Researcher Number	20392657
Other IDs
Affiliation (Current)	2025: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 研究チーム長
Affiliation (based on the past Project Information) *help	2022: 国立研究開発法人産業技術総合研究所, エレクトロニクス・製造領域, 主任研究員 2021: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 研究チーム長 2020: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 主任研究員
Review Section/Research Field	Except Principal Investigator Basic Section 60100:Computational science-related
Keywords	Except Principal Investigator 特徴同化 / 渦励振動 / 後流画像 / 切削FEM / 加工画像 / 特徴データ同化 / ディープラーニング / データ同化

Development of Image-based Deep Data Assimilation Method and Application to Metal Cutting Simulation
- Principal Investigator
  
  Misaka Takashi
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 60100:Computational science-related
- Research Institution
  National Institute of Advanced Industrial Science and Technology

All 2022 2021 2020

All Journal Article Presentation

[Journal Article] Improving Sustainability Index of Grey Cast Iron Finish Cutting Through High-Speed Dry Turning and Cutting Parameters Optimization Using Taguchi-Based Bayesian Method2022
- Author(s)
  Herwan Jonny、Misaka Takashi、Kano Seisuke、Sawada Hiroyuki、Furukawa Yoshiyuki、Ryabov Oleg
- Journal Title
  
  International Journal of Precision Engineering and Manufacturing-Green Technology
  
  Volume: 10 Issue: 3 Pages: 729-745
- DOI
  10.1007/s40684-022-00457-5
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K11859
[Journal Article] A proposal for improving production efficiency of existing machining line through a hybrid monitoring and optimisation process2022
- Author(s)
  Herwan Jonny、Misaka Takashi、Furukawa Yoshiyuki、Ogura Ichiro、Komoto Hitoshi
- Journal Title
  
  International Journal of Production Research
  
  Volume: 61 Issue: 16 Pages: 1-19
- DOI
  10.1080/00207543.2022.2101403
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K11859
[Journal Article] Turning Process Monitoring with Deep Neural Network Trained by FEM Simulation2021
- Author(s)
  Misaka Takashi、Herwan Jonny、Ogura Ichiro、Furukawa Yoshiyuki
- Journal Title
  
  Procedia CIRP
  
  Volume: 104 Pages: 376-380
- DOI
  10.1016/j.procir.2021.11.063
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K11859
[Journal Article] Deep neural network-based cost function for metal cutting data assimilation2020
- Author(s)
  Misaka Takashi、Herwan Jonny、Kano Seisuke、Sawada Hiroyuki、Furukawa Yoshiyuki
- Journal Title
  
  The International Journal of Advanced Manufacturing Technology
  
  Volume: 107 Issue: 1-2 Pages: 385-398
- DOI
  10.1007/s00170-020-04984-w
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K11859
[Presentation] Turning Process Monitoring with Deep Neural Network Trained by FEM Simulation2021
- Author(s)
  三坂孝志、Herwan Jonny、小倉一朗、古川慈之
- Organizer
  54th CIRP Conference on Manufacturing Systems
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11859

1. Misaka Takashi (20645139)

# of Collaborated Projects: 1 results

# of Collaborated Products: 5 results
2. HERWAN JONNY (80868969)

# of Collaborated Projects: 1 results

# of Collaborated Products: 5 results

Furukawa Yoshiyuki 古川慈之

古川慈之フルカワヨシユキ

Research Projects

Research Products

Co-Researchers

Development of Image-based Deep Data Assimilation Method and Application to Metal Cutting Simulation

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Improving Sustainability Index of Grey Cast Iron Finish Cutting Through High-Speed Dry Turning and Cutting Parameters Optimization Using Taguchi-Based Bayesian Method2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] A proposal for improving production efficiency of existing machining line through a hybrid monitoring and optimisation process2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Turning Process Monitoring with Deep Neural Network Trained by FEM Simulation2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Deep neural network-based cost function for metal cutting data assimilation2020

Author(s)

Journal Title

DOI

Data Source

[Presentation] Turning Process Monitoring with Deep Neural Network Trained by FEM Simulation2021

Author(s)

Organizer

Data Source

Furukawa Yoshiyuki 古川 慈之

古川 慈之 フルカワ ヨシユキ

Research Projects

Research Products

Co-Researchers

Development of Image-based Deep Data Assimilation Method and Application to Metal Cutting Simulation

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Improving Sustainability Index of Grey Cast Iron Finish Cutting Through High-Speed Dry Turning and Cutting Parameters Optimization Using Taguchi-Based Bayesian Method2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] A proposal for improving production efficiency of existing machining line through a hybrid monitoring and optimisation process2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Turning Process Monitoring with Deep Neural Network Trained by FEM Simulation2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Deep neural network-based cost function for metal cutting data assimilation2020

Author(s)

Journal Title

DOI

Data Source

[Presentation] Turning Process Monitoring with Deep Neural Network Trained by FEM Simulation2021

Author(s)

Organizer

Data Source

Furukawa Yoshiyuki 古川慈之

古川慈之フルカワヨシユキ