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    Real-Time and Online Lubricating Oil Condition Monitoring Enabled by Triboelectric Nanogenerator

    Year: 2021

    Journal: ACS Nano, Volume 15, JUL 27, page 11869–11879

    Authors: Zhao, Jun; Wang, Di; Zhang, Fan; Liu, Yuan; Chen, Baodong; Wang, Zhong Lin; Pan, Jinshan; Larsson, Roland; Shi, Yijun

    Organizations: Swedish Kempe Scholarship Project [JCK-1903.1]; Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (Formas) [2019-00904]; Swedish Research Council [2019-04941]; Swedish Energy Agency (Energimyndigheten) [2017-008200, 2018-003910]; National Natural Science Foundation of China [51905027]

    Keywords: lubricating oils; condition monitoring; triboelectric nanogenerator; TENG; smart machines

    An intelligent monitoring lubricant is essential for the development of smart machines because unexpected and fatal failures of critical dynamic components in the machines happen every day, threatening the life and health of humans. Inspired by the triboelectric nanogenerators (TENGs) work on water, we present a feasible way to prepare a self-powered triboelectric sensor for real-time monitoring of lubricating oils via the contact electrification process of oil-solid contact (O-S TENG). Typical intruding contaminants in pure base oils can be successfully monitored. The O-S TENG has very good sensitivity, which even can respectively detect at least 1 mg mL(-1) debris and 0.01 wt % water contaminants. Furthermore, the real-time monitoring of formulated engine lubricating oil in a real engine oil tank is achieved. Our results show that electron transfer is possible from an oil to solid surface during contact electrification. The electrical output characteristic depends on the screen effect from such as wear debris, deposited carbons, and age-induced organic molecules in oils. Previous work only qualitatively identified that the output ability of liquid can be improved by leaving less liquid adsorbed on the TENG surface, but the adsorption mass and adsorption speed of liquid and its consequences for the output performance were not studied. We quantitatively study the internal relationship between output ability and adsorbing behavior of lubricating oils by quartz crystal microbalance with dissipation (QCM-D) for liquid-solid contact interfaces. This study provides a real-time, online, self-powered strategy for intelligent diagnosis of lubricating oils.
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