東京大学 · 工学
Choi教授の研究室では、スマートベアリングの実現を目指し、三体効果を応用した自己駆動型センシング技術と、ナノスケールの潤滑膜制御技術を融合した先端摩擦・潤滑技術を研究しています。特に、自己診断・自己保守が可能なスマートベアリングの開発や、磁気ディスクの潤滑膜における表面被覆率と摩擦特性の関係解明が主な研究テーマです。AIとIoTを連携した次世代スマートマシンの実現に貢献する材料・界面技術の創出を目指しています。
Figures are computed from collected data and may differ slightly.
Abstract With the rapid development of the Internet of Things and artificial intelligence (AI), the requirement for sensing technologies for smart bearings has increased dramatically. The general bearing sensors can only recognize the basic information from temperature or vibration, far from satisfying the self‐diagnosis and self‐maintenance. Recently, self‐powered sensing technologies based on triboelectric nanogenerators have paved a new route for fabricating smart bearings. In this study, the
Self-assembled monolayers (SAMs) of 1H,1H,2H,2H-perfluorodecyltriethoxysilane were deposited on the magnetic hard disk surface by immersion. SAM formation was confirmed by contact angle measurement, ellipsometry, and x-ray photoelectron spectroscopy. Friction of unlubricated, SAM-coated, and perfluoropolyether (PFPE) Zdol-coated disk surfaces was measured with lateral force microscopy, spin-stand tester, and scratch tester. The SAM-coated disk surfaces had lower friction as compared to the unlub
Abstract In the present study, the effects of silicon oxide layer of Si‐DLC coatings on the tribological properties were investigated. The Si‐DLC coatings were deposited on Si substrates using a bi‐polar type plasma‐based ion implantation and deposition technique (bi‐polar type PBII&D), and the surface of the Si‐DLC coating was treated by oxygen plasma for 180 seconds. The friction coefficient of the Si‐DLC coatings is effectively reduced due to the treatment of oxygen plasma whereas the wea
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