학술논문

Fabrication of Acoustic Sensor Using Multilayer Transferred Monocrystal Graphene and Graphene–Polymethyl Methacrylate Composite Film Based on Extrinsic Fabry–Pérot Interference Effect
Document Type
Periodical
Source
IEEE Sensors Journal IEEE Sensors J. Sensors Journal, IEEE. 24(8):12374-12384 Apr, 2024
Subject
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Robotics and Control Systems
Sensors
Graphene
Sensor phenomena and characterization
Sensitivity
Optical films
Nonhomogeneous media
Young's modulus
Acoustic sensor
extrinsic Fabry–Pérot interference (EFPI)
graphene–polymethyl methacrylate (PMMA) composite film
multilayer transfer of graphene
Language
ISSN
1530-437X
1558-1748
2379-9153
Abstract
Graphene that is prepared by chemical vapor deposition (CVD) can realize the regulation of a monocrystalline layer with an arbitrary thickness through multilayer transfer method. This approach has significant advantages and potential for application in the membrane materials of extrinsic Fabry–Pérot interference (EFPI) optical fiber sensors. In this study, a series of $\varnothing 1100$ - $\mu \text{m}$ graphene–polymethyl methacrylate (PMMA) composite film EFPI optical-fiber sensors were proposed and fabricated. Through the optimization of reflectivity enhancement and assembly mode adjustment, its signal-to-noise ratio (SNR) was as high as 68.28 dB, and its minimum detection pressure (MDP) was $47 \mu $ Pa/Hz $^{\text {1/2}}$ at 6 kHz. The preparation process was characterized by simplicity and low manufacturing costs. Additionally, a $\varnothing 1100$ - $\mu \text{m}$ 30-layer monocrystal graphene-film EFPI sensor was prepared, which realized thin-film suspension support under an extremely high diameter-to-thickness ratio. Its SNR was 53.92 dB at 6 kHz, and its Pearson correlation coefficient was 0.83, which was consistent with the frequency response of the loudspeaker output characteristics. The results of this study could provide solutions to meet different application requirements for acoustic pressure detection of EFPI fiber-optic sensors.