2011 IEEE SENSORS Proceedings 2011
DOI: 10.1109/icsens.2011.6127138
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The modeling of the alignment sensitivity of a SAWR strain sensor to applied strain

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Cited by 2 publications
(2 citation statements)
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“…Numerical modeling can provide a better understanding of SAW propagating characteristics and assist designing sensor devices with better performance. Many researchers have conducted the modeling of quartz based single-layer [22] and ZnO/glass based double-layer [23] SAW strain sensors, etc. In this section, we conduct a numerical modeling for our TF-LN SAW sensor to analyze the effects of several independent factors on SAW velocity (resonant frequency), and deduce the dependence of strain sensitivity on strain alignment angle with the SAW propagation.…”
Section: Modeling Of Saw Strain Sensormentioning
confidence: 99%
“…Numerical modeling can provide a better understanding of SAW propagating characteristics and assist designing sensor devices with better performance. Many researchers have conducted the modeling of quartz based single-layer [22] and ZnO/glass based double-layer [23] SAW strain sensors, etc. In this section, we conduct a numerical modeling for our TF-LN SAW sensor to analyze the effects of several independent factors on SAW velocity (resonant frequency), and deduce the dependence of strain sensitivity on strain alignment angle with the SAW propagation.…”
Section: Modeling Of Saw Strain Sensormentioning
confidence: 99%
“…Meanwhile, because of their high sensitivity and low cost, various acoustic wave devices based sensors have also been developed for sensing and monitoring applications, such as to monitor temperature [3], gases [4], humidity [5], mass [6], magnetic field [7] and ultraviolet light [8], etc. In the past decades, strain or pressure sensors based on acoustic wave devices have been explored intensively as well, such as SAW strain sensors [9][10][11]. Strain induces changes in thickness of the layer stack, hence the resonant frequency of the acoustic resonant devices working in the thickness mode.…”
Section: Introductionmentioning
confidence: 99%