A novel water-fluid-driven triboelectric nanogenerator for lubrication condition monitoring of water-lubricated bearings

润滑 方位(导航) 摩擦电效应 状态监测 可靠性(半导体) 振动 纳米发生器 悬臂梁 信号(编程语言) 材料科学 润滑油 持续监测 机械工程 汽车工程 计算机科学 基础(证据) 推进 流体轴承 滚动轴承 海洋工程 声发射 摩擦学 声学 固有频率 水下
作者
Qingtao Li,Xiangrong Xu,Guobin Li,Pengfei Xing,Yijin Sui,Yuchao Song,Honglin Gao,Lu Zhang,Hongpeng Zhang,Ting Liu
出处
期刊:Measurement Science and Technology [IOP Publishing]
卷期号:37 (15): 155901-155901
标识
DOI:10.1088/1361-6501/ae5a50
摘要

Abstract Water-lubricated bearings play a vital role in marine propulsion systems, significantly influencing operational reliability and environmental sustainability. Accurate and real-time monitoring of lubrication states in these bearings is essential to guarantee the safe operation of marine vessels. Nevertheless, many existing monitoring approaches rely on laboratory-acquired static parameters, such as film thickness and pressure, which inadequately capture the dynamic lubrication variations encountered during actual navigation conditions. To overcome this limitation, an embedded cantilever-beam bouncing-ball triboelectric nanogenerator (CB-TENG) is developed as a self-powered sensor that converts water-film-induced micro-vibrations within a confined bearing clearance into electrical outputs. A coupled simulation framework parameterized by film thickness, together with comparative 30-min experiments under representative loads, demonstrates that fluid excitation alone can effectively drive the CB-TENG response and that the vibration/electrical characteristics depend measurably on lubrication conditions. As lubrication improves, the output evolves from low-amplitude, broadband and aperiodic fluctuations (boundary lubrication) to quasi-periodic oscillations with intermittent disturbances (mixed lubrication), and further to a stronger and more coherent near-resonant component with spectral energy concentrated around the structural natural-frequency band (hydrodynamic lubrication). Quantitative features derived from the time- and frequency-domain signals (e.g. RMS level and the spectral peak amplitude near the natural frequency) provide reproducible criteria for lubrication-state discrimination. The proposed CB-TENG offers a compact, passive, and self-powered route for in-situ condition monitoring of marine water-lubricated bearing systems.
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