Surface Acoustic Wave Sensors for Temperature and Strain Measurements

Yan, Yang; Wang, Yudong; Carka, Dorinaria; Li, Fang

doi:10.1109/ius46767.2020.9251505

Cited by 5 publications

(2 citation statements)

References 5 publications

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“…During the simulation, when a temperature field is applied, LiNbO 3 material will undergo thermal change and related physical properties will change. To be specific, the elastic constant, the piezoelectric constant, the dielectric constant and thermal expansion coefficient will be affected by the temperature [21]. The resonant frequency of LiNbO 3 shows a linear variation with the temperature and the quadratic dependence is very small; hence, in the simulation, only the first-order temperature coefficients of the elastic, piezoelectric and dielectric constants are considered.…”

Section: Calculation Principlementioning

confidence: 99%

High-Performance SAW Low Temperature Sensors with Double Electrode Transducers Based on 128° YX LiNbO3

et al. 2022

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Low temperature measurement is crucial in deep space exploration. Surface acoustic wave (SAW) sensors can measure temperature wirelessly, making them ideal in extreme situations when wired sensors are not applicable. In this study, 128° YX LiNbO3 was first introduced into low temperature measurements for its little creep or hysteresis in cryogenic environments and affordable price. The finite element method was utilized to raise the design efficiency and optimize the performance of SAW sensors by comparing the performance with different interdigital transducer (IDT) structure parameters, including the height of electrodes, pairs of IDTs, reflecting grid logarithm and acoustic aperture. Once the parameters were changed, a novel design of high-performance SAW temperature sensors based on 128° YX LiNbO3 with double electrode transducers was obtained, of which the Q value could reach up to 5757.18, 4.2-times higher than originally reported. Low temperature tests were conducted, and the frequency responsiveness of SAW sensors was almost linear from −100 °C to 150 °C, which is in good agreement with the simulation results. All results demonstrate that double electrode transducers are considerably efficient for performance enhancement, especially for high-Q SAW sensors, and indicate that LiNbO3 substrate can be a potential high-performance substitute for cryogenic temperature measurements.

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Section: Calculation Principlementioning

confidence: 99%

High-Performance SAW Low Temperature Sensors with Double Electrode Transducers Based on 128° YX LiNbO3

et al. 2022

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“…Therefore, by monitoring acoustic wave characteristics (or the resonant frequency of the device), these environmental properties can be measured. In particular, by exploiting the sensitivity of piezoelectric substrate materials to physical parameters, it is possible to use SAW devices as temperature, humidity, and strain sensors [ 3 , 4 ], as well as for the detection of gases [ 5 ] and liquids [ 6 ]. Moreover, SAW devices are largely employed in telecommunications with more than three billion SAW components manufactured every year and used as band pass filters and resonators in radio receivers of mobile cell phones, base stations, and RF front ends [ 7 , 8 , 9 , 10 , 11 , 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

On the Performance Evaluation of Commercial SAW Resonators by Means of a Direct and Reliable Equivalent-Circuit Extraction

et al. 2021

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Nowadays, surface acoustic wave (SAW) resonators are attracting growing attention, owing to their widespread applications in various engineering fields, such as electronic, telecommunication, automotive, chemical, and biomedical engineering. A thorough assessment of SAW performance is a key task for bridging the gap between commercial SAW devices and practical applications. To contribute to the accomplishment of this crucial task, the present paper reports the findings of a new comparative study that is based on the performance evaluation of different commercial SAW resonators by using scattering (S-) parameter measurements coupled with a Lorentzian fitting and an accurate modelling technique for the straightforward extraction of a lumped-element equivalent-circuit representation. The developed investigation thus provides ease and reliability when choosing the appropriate commercial device, depending on the requirements and constraints of the given sensing application. This paper deals with the performance evaluation of commercial surface acoustic wave (SAW) resonators by means of scattering (S-) parameter measurements and an equivalent-circuit model extracted using a reliable modeling procedure. The studied devices are four TO-39 packaged two-port resonators with different nominal operating frequencies: 418.05, 423.22, 433.92, and 915 MHz. The S-parameter characterization was performed locally around the resonant frequencies of the tested SAW resonators by using an 8753ES Agilent vector network analyzer (VNA) and a home-made calibration kit. The reported measurement-based study has allowed for the development of a comprehensive and detailed comparative analysis of the performance of the investigated SAW devices. The characterization and modelling procedures are fully automated with a user-friendly graphical user interface (GUI) developed in the Python environment, thereby making the experimental analysis faster and more efficient.

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High-Precision Demodulation Method for Surface Acoustic Wave Strain Sensor Based on Hybrid Changing Area Niche Genetic Algorithm

Cheng

Fan

et al. 2021

IEEE Sensors J.

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Surface Acoustic Wave Sensors for Temperature and Strain Measurements

Cited by 5 publications

References 5 publications

High-Performance SAW Low Temperature Sensors with Double Electrode Transducers Based on 128° YX LiNbO3

High-Performance SAW Low Temperature Sensors with Double Electrode Transducers Based on 128° YX LiNbO3

On the Performance Evaluation of Commercial SAW Resonators by Means of a Direct and Reliable Equivalent-Circuit Extraction

High-Precision Demodulation Method for Surface Acoustic Wave Strain Sensor Based on Hybrid Changing Area Niche Genetic Algorithm

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