journal article·2015-12-01Open access

Capacitive micromachined ultrasonic transducer for ultra-low pressure measurement: Theoretical study

Zhikang Li, Libo Zhao, Zhuangde Jiang, Sina Akhbari, Jianjun Ding, Yihe Zhao, Yulong Zhao, Liwei Lin

AIP Advances· Volume 5· Issue 12

Abstract

Ultra-low pressure measurement is necessary in many areas, such as high-vacuum environment monitoring, process control and biomedical applications. This paper presents a novel approach for ultra-low pressure measurement where capacitive micromachined ultrasonic transducers (CMUTs) are used as the sensing elements. The working principle is based on the resonant frequency shift of the membrane under the applied pressure. The membranes of the biased CMUTs can produce a larger resonant frequency shift than the diaphragms with no DC bias in the state-of-the-art resonant pressure sensors, which contributes to pressure sensitivity improvement. The theoretical analysis and finite element method (FEM) simulation were employed to study the relationship between the resonant frequency and the pressure. The results demonstrated excellent capability of the CMUTs for ultra-low pressure measurement. It is shown that the resonant frequency of the CMUT varies linearly with the applied pressure. A sensitivity of more than 6.33 ppm/Pa (68 kHz/kPa) was obtained within a pressure range of 0 to 100 Pa when the CMUTs were biased at a DC voltage of 90% of the collapse voltage. It was also demonstrated that the pressure sensitivity can be adjusted by the DC bias voltage. In addition, the effects of air damping and ambient temperature on the resonant frequency were also studied. The effect of air damping is negligible for the pressures below 1000 Pa. To eliminate the temperature effect on the resonant frequency, a temperature compensating method was proposed.
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Research context

OpenAlex topics: Advanced MEMS and NEMS Technologies · Advanced Fiber Optic Sensors · Advanced Sensor and Energy Harvesting Materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Xi’an Jiaotong University 1 State Key Laboratory for Manufacturing Systems Engineering, Collaborative Innovation Center of Suzhou Nano Science and Technology, , Xi’an, 710049, China

University of California at Berkeley 2 Department of Mechanical Engineering, , Berkeley, CA 94720, USA

Funding

National Natural Science Foundation of China

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