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Highly sensitive and broadband meta-mechanoreceptor via mechanical frequency-division multiplexing.

Authors :
Li, Chong
Liao, Xinxin
Peng, Zhi-Ke
Meng, Guang
He, Qingbo
Source :
Nature Communications; 9/7/2023, Vol. 14 Issue 1, p1-11, 11p
Publication Year :
2023

Abstract

Bio-mechanoreceptors capable of micro-motion sensing have inspired mechanics-guided designs of micro-motion sensors in various fields. However, it remains a major challenge for mechanics-guided designs to simultaneously achieve high sensitivity and broadband sensing due to the nature of resonance effect. By mimicking rat vibrissae, here we report a metamaterial mechanoreceptor (MMR) comprised of piezoelectric resonators with distributed zero effective masses featuring a broad range of local resonances, leading to near-infinite sensitivity for micro-motion sensing within a broad bandwidth. We developed a mechanical frequency-division multiplexing mechanism for MMR, in which the measured micro-motion signal is mechanically modulated in non-overlapping frequency bands and reconstructed by a computational multi-channel demodulation approach. The maximum sensitivity of MMR is improved by two orders of magnitude compared to conventional mechanics-guided mechanoreceptors, and its bandwidth with high sensitivity is extendable towards both low-frequency and high-frequency ranges in 0–12 kHz through tuning the local resonance of each individual sensing cell. The MMR is a promising candidate for highly sensitive and broadband micro-motion sensing that was previously inaccessible for mechanics-guided mechanoreceptors, opening pathways towards spatio-temporal sensing, remote-vibration monitoring and smart-driving assistance. There's a trade-off between the sensitivity and bandwidth for mechanics guided sensor designs. Here, authors report a mechanical sensor comprised of piezoelectric resonators with near infinite effective piezoelectric coefficients, leading to highly sensitive and broadband micromotion sensing. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20411723
Volume :
14
Issue :
1
Database :
Complementary Index
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
171806300
Full Text :
https://doi.org/10.1038/s41467-023-41222-9