期刊
ADVANCED FIBER MATERIALS
卷 3, 期 6, 页码 359-367出版社
SPRINGERNATURE
DOI: 10.1007/s42765-021-00097-5
关键词
Optical micro/Nanofiber; Airflow sensor; Anemometer; Wearable sensor
资金
- National Key Research and Development Program of China [SQ2019YFC170311]
- National Natural Science Foundation of China [61975173]
- Key Research and Development Project of Zhejiang Province [2021C05003]
- Major Scientific Research Project of Zhejiang Lab [2019MC0AD01]
A new type of airflow sensor based on optical micro/nanofiber (MNF) has been proposed and realized, which utilizes a flexible polydimethylsiloxane (PDMS) cantilever embedded with a U-shaped MNF to achieve bending-dependent transmittance variation. By arranging four cantilevers in two orthogonal directions, omnidirectional airflow can be measured within a speed range of 15 m/s. The optimized cantilever design also allows for real-time monitoring and distinction of voice and respiratory signals with a resolution of 0.012 m/s, showing promising potential for health monitoring applications.
Fiber-optic anemometers have attracted an increasing attention over the past decade owing to their high sensitivity, wide dynamic range, low power consumption, and immunity to electromagnetic interference. However, expensive instruments may limit their practical applications. Herein, a new type of airflow sensor based on optical micro/nanofiber (MNF) is proposed and realized. The sensing element is a flexible polydimethylsiloxane (PDMS) cantilever embedded with a U-shaped MNF. Upon exposure to airflow, the induced deflection of the cantilever results in a bending-dependent transmittance variation of the embedded MNF. The performance of the sensor can be engineered by tuning the cantilever thickness and/or the MNF diameter. When four cantilevers are arranged in two orthogonal directions, the transmittance of each cantilever will be dependent on both flow speed and direction. By analysing the output signals of the four cantilevers, omnidirectional airflow with flow speed within 15 m/s were experimentally measured. In addition, a variety of voice and respiratory signals can be monitored and distinguished in real-time using an optimized cantilever with a resolution of 0.012 m/s, presenting great potential for health monitoring applications.
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