Zhao Jun, Wang Di, Zhang Fan, Liu Yuan, Chen Baodong, Wang Zhong Lin, Pan Jinshan, Larsson Roland, Shi Yijun
Division of Machine Elements, Luleå University of Technology, Luleå, SE-971 87 Sweden.
College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, P. R. China.
ACS Nano. 2021 Jul 27;15(7):11869-11879. doi: 10.1021/acsnano.1c02980. Epub 2021 Jun 25.
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 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 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.
智能监测润滑剂对于智能机器的发展至关重要,因为机器中关键动态部件每天都会发生意外和致命故障,威胁着人类的生命和健康。受在水中工作的摩擦纳米发电机(TENG)的启发,我们提出了一种可行的方法来制备自供电摩擦电传感器,用于实时监测润滑油——油-固接触(O-S TENG)的接触起电过程。纯基础油中典型的侵入性污染物能够被成功监测。O-S TENG具有非常好的灵敏度,甚至能够分别检测到至少1 mg/mL的碎屑和0.01 wt%的水污染物。此外,还实现了在实际发动机油箱中对配制的发动机润滑油进行实时监测。我们的结果表明,在接触起电过程中电子从油向固体表面转移是可能的。电输出特性取决于诸如磨损碎屑、积碳和油中因老化产生的有机分子等的屏蔽效应。先前的工作仅定性地确定了通过减少液体吸附在TENG表面可提高液体的输出能力,但未研究液体的吸附质量和吸附速度及其对输出性能的影响。我们通过用于液-固接触界面的石英晶体微天平耗散技术(QCM-D)定量研究了润滑油输出能力与吸附行为之间的内在关系。本研究为润滑油的智能诊断提供了一种实时、在线、自供电的策略。