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A Triboelectric Nanogenerator Consisting of Polytetrafluoroethylene (PTFE) Pellet for Self‐Powered Detection of Mechanical Faults and Inclination in Dynamic Mechanics
Energy Technology ( IF 3.6 ) Pub Date : 2020-07-10 , DOI: 10.1002/ente.202000400
Rui Guo 1 , Kai Zhuo 1 , Xiaojing Cui 1 , Wendong Zhang 1 , Shengbo Sang 1 , Hulin Zhang 1
Affiliation  

A reliable mechanical fixation plays a pivotal role in guaranteeing normal operation for large‐scale equipment. The detection of screw loosening or breakage as well as susceptor tilting is of significance in mechanical dynamics, especially in those with large vibration amplitude during operation. Herein, a novel triboelectric nanogenerator (TENG) is reported that consists of polytetrafluoroethylene (PTFE) pellets and a single electrode installed on the bottom of a cylinder. The basic electricity‐generating principle is the coupling of triboelectrification and electrostatic induction between the pellets and electrode. The dependence of the output voltage on the diameter/number of pellets is explored deeply, suggesting, by enlarging the diameter or increasing the number of pellets, the output voltage can be improved. By integrating the fabricated TENG on a vibration table, the capacity of self‐powered detection of screw loosening or breakage can be achieved based on TENGs, which can predict a potential mechanical failure in real time. More importantly, the TENG can be tuned to output eight‐channel data simultaneously, which enables recognizing the tiny inclining signs of equipment. This work provides a new method for the design and manufacture of intelligent sensors that can be used for failure inspection and diagnosis in future intelligent mechanics.

中文翻译:

由聚四氟乙烯(PTFE)球团组成的摩擦电动纳米发电机,用于自动检测机械故障和动态力学中的倾角

可靠的机械固定装置对于保证大型设备的正常运行起着至关重要的作用。在机械动力学方面,尤其是在操作过程中振动幅度较大的情况下,检测螺钉松动或断裂以及基座倾斜是非常重要的。在此,报道了一种新型的摩擦电纳米发电机(TENG),它由聚四氟乙烯(PTFE)颗粒和安装在圆柱体底部的单个电极组成。基本的发电原理是药丸和电极之间的摩擦带电和静电感应的耦合。深入研究了输出电压对颗粒直径/数量的依赖性,这表明,通过增大直径或增加颗粒数量,可以改善输出电压。通过将制成的TENG集成到振动台上,可以基于TENG实现自动检测螺钉松动或断裂的能力,从而可以实时预测潜在的机械故障。更重要的是,可以将TENG调整为同时输出八通道数据,从而能够识别设备的微小倾斜迹象。这项工作为智能传感器的设计和制造提供了一种新方法,该方法可用于未来智能机械中的故障检查和诊断。这样就可以识别设备的微小倾斜迹象。这项工作为智能传感器的设计和制造提供了一种新方法,该方法可用于未来智能机械中的故障检查和诊断。这样就可以识别设备的微小倾斜迹象。这项工作为智能传感器的设计和制造提供了一种新方法,该方法可用于未来智能机械中的故障检查和诊断。
更新日期:2020-09-05
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