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

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 ef...

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Autores principales: Li, Chong, Liao, Xinxin, Peng, Zhi-Ke, Meng, Guang, He, Qingbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10482866/
https://www.ncbi.nlm.nih.gov/pubmed/37673899
http://dx.doi.org/10.1038/s41467-023-41222-9
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author Li, Chong
Liao, Xinxin
Peng, Zhi-Ke
Meng, Guang
He, Qingbo
author_facet Li, Chong
Liao, Xinxin
Peng, Zhi-Ke
Meng, Guang
He, Qingbo
author_sort Li, Chong
collection PubMed
description 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.
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spelling pubmed-104828662023-09-08 Highly sensitive and broadband meta-mechanoreceptor via mechanical frequency-division multiplexing Li, Chong Liao, Xinxin Peng, Zhi-Ke Meng, Guang He, Qingbo Nat Commun Article 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. Nature Publishing Group UK 2023-09-07 /pmc/articles/PMC10482866/ /pubmed/37673899 http://dx.doi.org/10.1038/s41467-023-41222-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Li, Chong
Liao, Xinxin
Peng, Zhi-Ke
Meng, Guang
He, Qingbo
Highly sensitive and broadband meta-mechanoreceptor via mechanical frequency-division multiplexing
title Highly sensitive and broadband meta-mechanoreceptor via mechanical frequency-division multiplexing
title_full Highly sensitive and broadband meta-mechanoreceptor via mechanical frequency-division multiplexing
title_fullStr Highly sensitive and broadband meta-mechanoreceptor via mechanical frequency-division multiplexing
title_full_unstemmed Highly sensitive and broadband meta-mechanoreceptor via mechanical frequency-division multiplexing
title_short Highly sensitive and broadband meta-mechanoreceptor via mechanical frequency-division multiplexing
title_sort highly sensitive and broadband meta-mechanoreceptor via mechanical frequency-division multiplexing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10482866/
https://www.ncbi.nlm.nih.gov/pubmed/37673899
http://dx.doi.org/10.1038/s41467-023-41222-9
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