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http://dx.doi.org/10.5370/KIEE.2014.63.4.495

A Study on a Highly Sensitive Strain Sensor based on Rayleigh Wave  

Lee, Ki Jung (Dept. of Electrical and Computer Engineering, Ajou University)
Jo, Minuk (Dept. of Electrical and Computer Engineering, Ajou University)
Fu, Chen (Dept. of Electrical and Computer Engineering, Ajou University)
Eun, Kyoungtae (Nano.IT Fusion Program, Seoul National University of Science & Technology)
Oh, Haekwan (Convergence Sensor Research Center, Korea Electronics Technology Institute)
Choa, Sung-Hoon (Nano.IT Fusion Program, Seoul National University of Science & Technology)
Yang, Sang Sik (Dept. of Electrical and Computer Engineering, Ajou University)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.63, no.4, 2014 , pp. 495-501 More about this Journal
Abstract
Piezoresistive-type, capacitive-type, and optical-type sensors have mainly been used for measuring a strain. However, in building a sensor network for remote monitoring using these conventional sensors there are disadvantages such as the complexity of a measuring system including wireless communication circuitry and high cost. In this paper, we demonstrates a highly-sensitive surface acoustic wave (SAW) strain sensor which is advantageous to harsh environments and wireless network. We designed and fabricated the SAW strain sensor. The SAW strain sensor attached on a specimen was tested with a tensile tester. The strain on the sensor surface was measured with a commercial strain gauge and compared with that obtained from strain analysis. The central frequency shift of the SAW sensor was measured with a network analyzer. The sensitivity of the SAW strain sensor is 134 $Hz/{\mu}{\varepsilon}$ which is high compared to previous results.
Keywords
Surface acoustic wave; Strain sensor; YX-$LiNbO_3$; Finite element method;
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Times Cited By KSCI : 1  (Citation Analysis)
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