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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Characterization of Distributed Microfabricated Strain Gauges on Stretchable Sensor Networks for Structural Applications
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Characterization of Distributed Microfabricated Strain Gauges on Stretchable Sensor Networks for Structural Applications

机译：可伸缩传感器网络上用于结构应用的分布式微型应变计的特性

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摘要

Smart structures mimic biological systems by using thousands of sensors serving as a nervous system analog. One approach to give structures this sensing ability is to develop a multifunctional sensor network. Previous work has demonstrated stretchable sensor networks consisting of temperature sensors and impact detectors for monitoring external environments and interacting with other objects. The objective of this work is to develop distributed, robust and reliable strain gauges for obtaining the strain distribution of a designated region on the target structure. Here, we report a stretchable network that has 27 rosette strain gauges, 6 resistive temperature devices and 8 piezoelectric transducers symmetrically distributed over an area of 150 × 150 mm to map and quantify multiple physical stimuli with a spatial resolution of 2.5 × 2.5 mm. We performed computational modeling of the network stretching process to improve measurement accuracy and conducted experimental characterizations of the microfabricated strain gauges to verify their gauge factor and temperature coefficient. Collectively, the results represent a robust and reliable sensing system that is able to generate a distributed strain profile of a common structure. The reported strain gauge network may find a wide range of applications in morphing wings, smart buildings, autonomous cars and intelligent robots.
机译：智能结构通过使用成千上万个用作神经系统类似物的传感器来模仿生物系统。使结构具有这种传感能力的一种方法是开发多功能传感器网络。先前的工作演示了可伸缩的传感器网络，该网络由温度传感器和冲击检测器组成，用于监视外部环境并与其他对象进行交互。这项工作的目的是开发分布式，鲁棒和可靠的应变仪，以获取目标结构上指定区域的应变分布。在这里，我们报告了一个可拉伸的网络，该网络具有27个玫瑰形应变仪，6个电阻温度设备和8个压电传感器，它们对称分布在150×150 mm的区域上，以绘制和量化空间分辨率为2.5×2.5 mm的多个物理刺激。我们对网络拉伸过程进行了计算建模，以提高测量精度，并对微型应变片进行了实验表征，以验证其应变系数和温度系数。总的来说，结果代表了一种强大而可靠的传感系统，该系统能够生成常见结构的分布式应变曲线。报道的应变仪网络可能在变形机翼，智能建筑，自动驾驶汽车和智能机器人中具有广泛的应用。

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