Kodama Hiroyuki

コダマヒロユキ | Kodama Hiroyuki

Affiliation and department：
Homepage URL (1)： http://www.prec.mech.okayama-u.ac.jp/

Research field (2)： Manufacturing and production engineering , Intelligent informatics

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 (5)：

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
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
2012 - 2013 データマイニング支援ものづくりシステム・工具D/Bからのカタログマイニング

Papers (61)：

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
Hiroyuki Kodama, Shota Nakamae, Masashi Harada, Daichi Wada, Kazuhito Ohashi. Abrasive jet machining for the microprofile control patterning of herringbone grooves. Precision Engineering. 2021. 72. 527-542
Hiroyuki Kodama, Shingo Okazaki, Yifan Jiang, Hiroyuki Yoden, Kazuhito Ohashi. Thermal influence on surface layer of carbon fiber reinforced plastic (CFRP) in grinding. Precision Engineering. 2020. 65. 53-63

ｍore...

MISC (6)：

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
児玉紘幸. データマイニング手法を応用した切削条件決定支援システム. システム/制御/情報. 2017. 61. 9

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Lectures and oral presentations (11)：

Decision Support System for Grinding Wheel Selection Using Data-Mining
(euspen’s 18th International Conference & Exhibition)
Experimental Verification of Micro End-milling Condition Decision Methodology Using Data-Mining System
(The 20th International Symposium of Advances in Abrasive Technology ISAAT2017)
Development of the Grinding Wheel Decision Support System Using Data Mining Method
(The 9th International Conference on Leading Edge Manufacturing in 21st Century)
Study of Surface Integrity in Micro-groove Cutting of Anisotropic Material
(euspen’s 17th International Conference & Exhibition)
Effect on Processing Quality of Impurities in Coolant Used in Grinding Stainless Steel
(2016 International Conference on Machining Materials and Mechanical Technologies)

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Education (3)：

Work history (4)：

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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