助教の田中峻さんがマザック財団優秀論文表彰を受賞しました（表彰は5/26）
Shun Tanaka , Toru Kizaki, Yuta Teshima, Naohiko Sugita, Comprehensive Analysis of Temperature-Sensitive Points Across Machine Tool Structures Using Highly Redundant Temperature Data and Sparse Modeling, International Journal of Automation Technology, 19/5, 758-773, 2025.
記事：DMG森精機と東京大学、工作機械のDX研究拠点を開設
論文：Eng Anal Bound Elem
Ishioka, S., Ikio, Y., Tanaka, S., Kizaki, T., Dote, I., Kai, N., Sugita, N. and Yamada, T. (2026). Design of thermal-invariant metastructures for machine tools via additive topology optimization. Eng Anal Bound Elem 186 106712.
論文：Mech Syst Signal Process
Zhang, P., Zhao, H., Sun, C., Li, A., Zhang, H., Sugita, N. and Shu, L. (2026). Tool wear monitoring and multi-step forecasting in deep hole boring based on physics-informed neural network and ARIMA model. Mech Syst Signal Process 249 114078.
論文：Precision Engineering
Zhang, P., Wang, C., Ying, Z. and Sugita, N. (2026). Improved cutting mechanism and surface generation of CFRP with ultrasonic vibration. Precis Eng 99 440–52.
論文：J Manuf Process
Zhang, P., Zhao, H., Li, A., Sun, C., Zhang, H., Sugita, N. and Shu, L. (2026). A physics-informed neural network with adaptive loss weighting for tool wear and remaining useful life prediction in deep hole boring. J Manuf Process 160 82–98.
受賞：SPIE PHOTONICS WEST
吉﨑れいな助教が SPIE PHOTONICS WEST で Best Postdoctral Oral Presentation Award を受賞しました。
Reina Yoshizaki, Yuta Teshima, Yanming Zhang, Shogo Kitamura, Kentaro Furuichi, Yanjin Kim, Kenichi Hibino, Iori Watanabe, Toshihisa Hikita, Naohiko Sugita, Submicrometer-scale 3D grinding of diamond by ultrashort pulse laser with in-process interferometric topography mesurement, SPIE Photonics West, 17-22 January 2026.
論文：Case Studies in Thermal Engineering
Han, J., Wang, L., Li, X., Kizaki, T., Sugita, N. and Wang, D. (2026). Condition-adaptive spindle thermal error prediction and compensation using Temporal Kolmogorov-Arnold Networks with hybrid feature selection. Case Studies in Thermal Engineering, 77, 107564.
論文：Measurement
Kim, H., Kim, Y., Ito, Y. and Sugita, N. (2026). Robust Zernike aberration sensing method based on deep learning for precision interferometric glass thickness profiling. Measurement 263 120062.
論文：Results in Physics
Jeon, J., Kim, Y., Ito, Y., Sugita, N. and Mitsuishi, M. (2026). One-frame interferometric surface contouring via stepwise phase extraction and deep learning. Results Phys 80 108560.