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J-GLOBAL ID:202101001814212637   Update date: Jan. 08, 2025

Kodama Hiroyuki

コダマ ヒロユキ | Kodama Hiroyuki
Clips
Affiliation and department:
Homepage URL  (1): http://www.prec.mech.okayama-u.ac.jp/
Research field  (1): Manufacturing and production engineering
Research keywords  (5): 切削加工 ,  研削加工 ,  データマイニング ,  機械学習 ,  多変量解析
Research theme for competitive and other funds  (6):
  • 2020 - 2023 次世代半導体材料の超精密研削における砥石結合剤の粘弾性の効果
  • 2020 - 2022 Development of Electroplated Face Grinding Wheel Aiming Both High-Efficiency and High-Accuracy for Cemented Carbide
  • 2018 - 2021 Development of Grinding Wheel Decision Support System Using Data-mining Method
  • 2017 - 2020 High Efficiency and High Quality Dry Grinding of Carbon Fiber Reinforced Plastic
  • 2015 - 2018 Development of Optimization Technique for Difficult-to-cut Material Processing Technology Using Tool Catalog Data-mining System
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Papers (64):
  • Hiroyuki KODAMA, Makoto SUZUKI, Kazuhito OHASHI. Development of tool life prediction system for square end-mills based on database of servo motor current value. Journal of Advanced Mechanical Design, Systems, and Manufacturing. 2025. 19. 1. JAMDSM0001-JAMDSM0001
  • Hiroyuki KODAMA, Soto KOGUE, Takahiro NISHI, Kazuhito OHASHI. Development of ball end-mill wear condition judgment system aided by abnormality detection and image classification. Transactions of the JSME (in Japanese). 2024. 90. 937. 24-00127
  • H. Kodama, T. Mendori, Y. Watanabe, K. Ohashi. Construction of Grinding Wheel Decision Support System Using Random Forests for Difficult-to-cut Material. Precision Engineering. 2023. 84. 162-176
  • H. Kodama, S. Matsuno, N. Shibata, K. Ohashi. Effect of Vibration Behavior in Low-Frequency Vibration Cutting on Surface Properties of Workpiece. Int. J. of Automation Technology. 2023. 17. 5. 434-448
  • 野原嘉人, 廣垣俊樹, 青山栄一, 児玉紘幸. Knowledge exploration of microdrill catalog database based on clustering. 砥粒加工学会誌. 2022. 66. 7
more...
MISC (7):
  • 大橋一仁, 児玉紘幸. 高精度化・効率化の進む研削加工技術とその動向. 機械技術. 2024. 72. 13. 16-19
  • 児玉紘幸. Grinding Wheel Element Determination Support System by Random Forest Method. 精密工学会誌(Web). 2022. 88. 7
  • 児玉紘幸. データマイニングによる研削加工支援システムの開発. 機械の研究. 2021. 73. 9
  • 児玉紘幸. データマイニングに支援されたモノづくりシステムに関する研究. 砥粒加工学会誌. 2020. 64. 1
  • 児玉紘幸. Cutting condition decision support system by using data-mining method. 砥粒加工学会誌. 2020. 64. 5
more...
Lectures and oral presentations  (31):
  • Investigation on Concentric Mutual Lapping characteristic for Improvement in Sliding Surface Function of SiC Ceramics
    (The 22nd International Symposium on Advances in Abrasive Technology)
  • Investigation of Principal Factor Decision Support System Using Data-Mining Methodology for Surface Grinding Wheel
    (The 22nd International Symposium on Advances in Abrasive Technology)
  • Construction of cutting evaluation system for mold manufacturing based on servo motor current value applying data mining method
    (IMECE 2019 International Mechanical Engineering Congress & Exposition)
  • Decision Support System for Principal Factors of Grinding Wheel Using Data-Mining Methodology
    (The 21th International Symposium of Advances in Abrasive Technology ISAAT2017)
  • Decision Support System for Grinding Wheel Selection Using Data-Mining
    (euspen’s 18th International Conference & Exhibition)
more...
Education (3):
  • 2011 - 2014 Doshisha University
  • 2009 - 2011 Doshisha University
  • - 2009 Doshisha University
Work history (4):
  • 2017/04 - 現在 Okayama University
  • 2014/04 - 2017/03 University of Hyogo Graduate School of Engineering
  • 2012/04 - 2014/03 日本学術振興会特別研究員 同志社大学 DC2
  • 2011/04 - 2012/03 Osaka Institute of Technology
Committee career (1):
  • 2017 - 現在 International Committee for Abrasive Technology Associate Member
Awards (12):
  • 2024/03 - 精密工学会中国四国支部 優秀研究者賞 難削材料の切削・研削加工現象の解明およびデータ駆動型ものづくりシステムに関する開発
  • 2024/03 - 岡山大学 教育貢献賞 コースの教育研究の将来を検討した提言に対する教育貢献
  • 2023/04 - 岡山大学工学部 ベストティーチャー賞
  • 2023/02 - (株)リバネス (株)中国銀行 第5回 岡山テックプラングランプリ (企業賞)KOBASHI HOLDINGS賞 ものづくりの意思決定支援システムの開発
  • 2020/08 - 砥粒加工学会 優秀講演論文表彰 ランダムフォレスト手法を用いた砥石決定支援システムの内挿予測精度評価
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