ACHIEVEMENTS

論文

  1. 金子和暉，西田 勇，佐藤隆太，白瀬敬一，傾斜切削理論に基づくエンドミル加工の切削力モデル，日本機械学会論文集，Vol.83，No.856 (2017) DOI: 10.1299/transjsme.17-00247.
  2. Kazuki Kaneko, Isamu Nishida, Ryuta Sato and Keiich Shirase, Machining state monitoring in end milling based on comparison of monitored and predicted cutting torques, Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol.13, No.3 (2019) DOI:10.1299/jamdsm.2019jamdsm0052.
  3. 金子和暉，西田 勇，佐藤隆太，白瀬敬一，リアルタイム切削シミュレータを用いたエンドミル加工におけるセンサレス切削力モニタリング方法の提案，精密工学会誌，Vol.86, No.9 (2020) DOI: 10.2493/jjspe.86.708.
  4. Kazuki Kaneko, Isamu Nishida, Ryuta Sato and Keiich Shirase, A practical method to monitor tool wear in end milling using a changing cutting force model that requires no additional sensors, Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol.15, No.6 (2021), DOI: 10.1299/jamdsm.2021jamdsm0077.
  5. 清水　淳，山本武幸，金子和暉，周　立波，小貫哲平，尾嶌裕隆，微小振動援用切削でテクスチャ加工した圧痕状パターン の周期的配置による金属表面の乾式すべり特性，Vol.67, No.4, (2022) DOI:10.11420/jsat.67.218.
  6. Kazuki Kaneko, Jun Shimizu and Keiichi Shirase, A Voxel-Based End Milling Simulation Method to Analyze the Elastic Deformation of a Workpiece, Journal of Manufacturing Science and Engineering, Vol.145, No.1, (2023) DOI: 10.1115/1.4055794.
  7. 金子和暉，橋村紀香，清水 淳，周 立波，小貫哲平，尾嶌裕隆，シリコンCMPの分子動力学シミュレーションにおける化学的作用のモデル化，砥粒加工学会誌, Vol.67, No.8 (2023), pp.452-457.
  8. Kazuki Kaneko, Masatomo Inui, Isamu Nishida, Fast simulation of machining error induced by elastic deformation of tool system in end milling, Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol.17, No.3 (2023), DOI:10.1299/jamdsm.2023jamdsm0035.
  9. Kaneko Kaneko, Toshihiro Komatsu, Libo Zhou, Teppei Onuki and Hirotaka Ojima, Jun Shimizu, Autonomous optimization of cutting conditions in end milling operation based on deep reinforcement learning -Offline training in simulation environment-, Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol.17, No.5 (2023), DOI: 10.1299/jamdsm.2023jamd.
  10. Teppei Onuki, Kazuki Kaneko, Hirotaka Ojima, Jun Shimizu and Libo Zhou, Abrasive wear damages observation in engineering ceramics using micro-Raman tomography, Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol.145, No.1 (2023), DOI: 10.1299/jamdsm.2023jamdsm0009.
  11. Taisuke Oshida, Tomohiro Murakoshi, Libo Zhou, Hirotaka Ojima, Kazuki Kaneko, Teppei Onuki and Jun Shimizu, Development and implementation of real-time anomaly detection on tool wear based on stacked LSTM Encoder-Decoder model, International Journal of Advanced Manufacturing Technology, Vol.127 (2023), DOI: 10.1007/s00170-023-11497-9.
  12. Tomohiro Murakoshi, Taisuke Oshida, Libo Zhou, Hirotaka Ojima, Kazuki Kaneko, Teppei Onuki and Jun Shimizu, Development of Extractor-Classifier-Regulator integrated anomaly detection model for turning process, Journal of Manufacturing Processes, Vol.99, No.4, DOI: 10.1016/j.jmapro.2023.05.100. (2023).
  13. 石川翔梧，尾嶌裕隆，小松敏大，周 立波，金子和暉，小貫哲平，清水 淳，切削加工音による深層学習を用いた異常検知システムの開発,砥粒加工学会誌，Vol.68, No.2 (2024), pp.140-144.
  14. 塩見山太郎，髙橋清樹，周立波，清水淳，小貫哲平，尾嶌裕隆，金子和暉，ロータリインフィード研削におけるウエハ温度の解析および評価，砥粒加工学会誌，Vol.68, No.3 (2024), pp.82-87.
  15. Kazuki Kaneko, Arisa Kudo, Takanori Waizumi, Jun Shimizu, Libo Zhou, Hirotaka Ojima and Teppei Onuki, Practical Method for Identifying Model Parameters for Machining Error Simulation in End Milling Through Sensor-Less Monitoring and On-Machine Measurement, International Journal of Automation Technology, Vol.18, No.3, (2024) DOI:10.20965/ijat.2024.p0342.
  16. Kazuki Kaneko, Jun Shimizu and Keiichi Shirase, Voxel-based end milling simulation of machining error induced by elastic deformation of tool and workpiece, Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol.18, No.4 (2024) DOI: 10.1299/jamdsm.2024jamdsm0042.

国際会議プロシーディングス

  1. Kazuki Kaneko, Isamu Nishida, Ryuta Sato and Keiichi Shirase, A revised instantaneous rigid force model for end-milling operation to eliminate predetermination of cutting coefficients, The 9th International Conference on Leading Edge Manufacturing in 21st Century (LEM21), (2017), 060.
  2. Kazuki Kaneko, Isamu Nishida, Ryuta Sato and Keiichi Shirase, Virtual milling force monitoring method based on in-process milling force prediction model to eliminate predetermination of cutting coefficients, Proceedings of The 8th CIRP Conference on High Performance Cutting (HPC’18), (2018), 110.
  3. Kazuki Kaneko, Isamu Nishida, Ryuta Sato and Keiichi Shirase, Tool chipping detection based on spindle motor torque distortion in end-milling, Proceedings of The 17th International Conference on Precision Engineering(ICPE2018), (2018), B-1-27.
  4. Kazuki Kaneko, Isamu Nishida, Ryuta Sato and Keiichi Shirase, Sensor-less tool wear estimation based on change in value of identified parameter in cutting force prediction model, Proceedings of The International Conference on Leading Edge Manufacturing/Materials & Processing (LEMP2020), (2020), LEMP2020-8504.
  5. Kazuki Kaneko, Isamu Nishida, Ryuta Sato and Keiichi Shirase, Real time end milling simulator for cutting force monitoring, Proceedings of The 18th International Conference on Precision Engineering (ICPE2020), (2020), B-1-3.
  6. Kazuki Kaneko, Isamu Nishida, Ryuta Sato, and Keiichi Shirase, Tool Condition Monitoring Method Assisted by Real-time Cutting Force Simulation for End Milling Operation, Proceedings of The International Conference on Leading Edge Manufacturing in 21st century LEM21, (2021), 043-041
  7. Kazuki Kaneko, Jun Shimizu, Keiichi Shirase, Machining error prediction based on voxel model in peripheral milling of low-rigidity workpiece, Proceedings of The 19th International Conference on Precision Engineering, (2022), C093.
  8. Kazuki Kaneko, Jun Shimizu, Keiichi Shirase, Prediction of machining error induced by workpiece elastic deformation in end milling, Proceedings of Leading Edge Manufacturing/Material and Processing LEM&P2023, (2023), LEMP2023-031.
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