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Digitalized self-powered strain gauge for static and dynamic measurement
Nano Energy ( IF 16.8 ) Pub Date : 2017-10-24 , DOI: 10.1016/j.nanoen.2017.10.004
Zongming Su , Hanxiang Wu , Haotian Chen , Hang Guo , Xiaoliang Cheng , Yu Song , Xuexian Chen , Haixia Zhang

This paper presents a digitalized self-powered triboelectric strain gauge (DSSG) for the first time. Different from conventional resistive or capacitive analogue strain responsive mechanisms, adopting the output of grated triboelectrication as sensing signal for static and dynamic strain measurement allows for digitalized strain measurement with excellent accuracy, sensitivity and linearity. Instead of analyzing voltage/current value of sliding-mode triboelectric nanogenerator (S-TENG) to evaluate strain, the DSSG exploits a grated triboelectric electrode to generate periodical output signals when the designed elastomer has relative movement with the grated electrode. A promoted real-time analysis system (RAS) enables the analysis and display of the digitalized signals. Benefiting from the micro-manufacturing techniques of grated electrode, DSSG reaches a remarkable gauge factor as high as 130 with optimized design of geometrical parameters. The results of static strain measurement prove the feasibility of using such DSSG as a self-powered transducer of tensile forces, with a minimum resolution for tensile force detection of 120 mN per cycle. At the same time, dynamic strain sensing assisted by signal processing system provides possibility of using such DSSG for real-time elbow joint motion detection and posture analysis, thereby indicating its great potentials for human-machine interface, prosthetic, and biomechanical applications.



中文翻译:

数字化自供电应变仪,用于静态和动态测量

本文首次提出了一种数字化的自供电摩擦应变仪(DSSG)。与传统的电阻式或电容式模拟应变响应机制不同,采用磨碎摩擦电的输出作为静态和动态应变测量的感测信号,可以进行数字化应变测量,具有出色的精度,灵敏度和线性度。当设计的弹性体与磨碎的电极有相对运动时,DSSG不用分析滑模摩擦电纳米发电机(S-TENG)的电压/电流值来评估应变,而是利用磨碎的摩擦电电极来产生周期性的输出信号。先进的实时分析系统(RAS)可以分析和显示数字化信号。受益于磨碎电极的微制造技术,通过优化的几何参数设计,DSSG的规格因子高达130。静态应变测量的结果证明了将这种DSSG用作张力的自供电传感器的可行性,每个循环的张力检测最小分辨率为120 mN。同时,由信号处理系统辅助的动态应变传感提供了将此类DSSG用于实时肘关节运动检测和姿势分析的可能性,从而表明了其在人机界面,修复和生物力学应用中的巨大潜力。最小分辨率为每个循环120 mN的拉力检测。同时,由信号处理系统辅助的动态应变传感提供了将此类DSSG用于实时肘关节运动检测和姿势分析的可能性,从而表明了其在人机界面,修复和生物力学应用中的巨大潜力。最小分辨率为每个循环120 mN的拉力检测。同时,由信号处理系统辅助的动态应变传感提供了将此类DSSG用于实时肘关节运动检测和姿势分析的可能性,从而表明了其在人机界面,修复和生物力学应用中的巨大潜力。

更新日期:2017-10-24
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