Characterization of Distributed Microfabricated Strain Gauges on Stretchable Sensor Networks for Structural Applications

• Published in: Sensors (Basel, Switzerland) Vol. 18; no. 10; p. 3260
• Main Authors: Chen, Xiyuan, Topac, Tanay, Smith, Wyatt, Ladpli, Purim, Liu, Cheng, Chang, Fu-Kuo
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI 28.09.2018; MDPI AG
• Subjects: distributed strain measurement; sensor network; smart structure; strain gauge; structural health monitoring; distributed strain measurement; smart structure; structural health monitoring; strain gauge; sensor network
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s18103260

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.