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管状内物体运动自供电跟踪的摩擦电传感器。

Triboelectric sensor for self-powered tracking of object motion inside tubing.

机构信息

School of Materials Science and Engineering, Georgia Institute of Technology , Atlanta, Georgia 30332-0245, United States.

出版信息

ACS Nano. 2014 Apr 22;8(4):3843-50. doi: 10.1021/nn500695q. Epub 2014 Mar 6.

DOI:10.1021/nn500695q
PMID:24601547
Abstract

We report a self-powered, single-electrode-based triboelectric sensor (SE-TES) array for detecting object motion inside of a plastic tube. This innovative, cost-effective, simple-designed SE-TES consists of thin-film-based ring-shaped Cu electrodes and a polytetrafluoroethylene (PTFE) tube. On the basis of the coupling effect between triboelectrification and electrostatic induction, the sensor generates electric output signals in response to mechanical motion of an object (such as a ball) passing through the electrodes. An array of Cu electrodes linearly aligned along the tube enables the detection of location and speed of the moving steel ball inside. The signal-to-noise ratio of this fabricated device reached 5.3 × 10(3). Furthermore, we demonstrated real-time monitoring and mapping of the motion characteristics of the steel ball inside the tube by using a seven-unit array of electrode channels arranged along the tube. Triggered by the output current signal, LED bulbs were utilized as real-time indicators of the position of a rolling ball. In addition, the SE-TES also shows the capability of detecting blockage in a water pipe. This work demonstrates potentially widespread applications of the triboelectric sensor in a self-powered tracking system, blockage detection, flow control, and logistics monitoring.

摘要

我们报告了一种自供电、基于单电极的摩擦电传感器 (SE-TES) 阵列,用于检测塑料管内的物体运动。这种创新的、具有成本效益的、简单设计的 SE-TES 由基于薄膜的环形 Cu 电极和聚四氟乙烯 (PTFE) 管组成。基于摩擦带电和静电感应的耦合效应,传感器会产生电输出信号,以响应穿过电极的物体(如球)的机械运动。线性排列在管中的 Cu 电极阵列能够检测到内部移动钢球的位置和速度。该制造设备的信噪比达到 5.3 × 10(3)。此外,我们通过使用沿管排列的七个电极通道单元的阵列,演示了对管内钢球运动特性的实时监测和映射。通过输出电流信号触发,LED 灯泡用作滚动球位置的实时指示器。此外,SE-TES 还显示了检测水管堵塞的能力。这项工作展示了摩擦电传感器在自供电跟踪系统、堵塞检测、流量控制和物流监测中的广泛应用潜力。

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