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A High Compressibility Pressure—Sensitive Structure Based on CB@PU Yarn Network
In this work, a piezoresistive sensor structure based on carbon black (CB)@polyurethane (PU) yarn material was developed. Specifically, CB@PU yarn was constructed by the polymer-mediated water-based electrostatic deposition method. The distribution of the yarn was artificially controlled to fabricat...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308453/ https://www.ncbi.nlm.nih.gov/pubmed/30486298 http://dx.doi.org/10.3390/s18124141 |
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author | Chen, Xingtong Liu, Chunguo Liu, Shuo Lyu, Bing Li, Donglai |
author_facet | Chen, Xingtong Liu, Chunguo Liu, Shuo Lyu, Bing Li, Donglai |
author_sort | Chen, Xingtong |
collection | PubMed |
description | In this work, a piezoresistive sensor structure based on carbon black (CB)@polyurethane (PU) yarn material was developed. Specifically, CB@PU yarn was constructed by the polymer-mediated water-based electrostatic deposition method. The distribution of the yarn was artificially controlled to fabricate conductive networks. The CB conductive layer was efficiently supported by the net-like structure of PU yarn, thus generating collaborative advantage. The as-fabricated pressure sensor not only displayed compressibility of over 97%, but also detected a wide pressure change from 25 Pa to 20 kPa. Furthermore, this sensor exhibited response time of less than 70 ms and reproducibility of over 10,000 cycles. The advantages of the CB@PU network ensured this pressure-sensitive structure enormous potential application in pressure sensitive equipment. |
format | Online Article Text |
id | pubmed-6308453 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63084532019-01-04 A High Compressibility Pressure—Sensitive Structure Based on CB@PU Yarn Network Chen, Xingtong Liu, Chunguo Liu, Shuo Lyu, Bing Li, Donglai Sensors (Basel) Article In this work, a piezoresistive sensor structure based on carbon black (CB)@polyurethane (PU) yarn material was developed. Specifically, CB@PU yarn was constructed by the polymer-mediated water-based electrostatic deposition method. The distribution of the yarn was artificially controlled to fabricate conductive networks. The CB conductive layer was efficiently supported by the net-like structure of PU yarn, thus generating collaborative advantage. The as-fabricated pressure sensor not only displayed compressibility of over 97%, but also detected a wide pressure change from 25 Pa to 20 kPa. Furthermore, this sensor exhibited response time of less than 70 ms and reproducibility of over 10,000 cycles. The advantages of the CB@PU network ensured this pressure-sensitive structure enormous potential application in pressure sensitive equipment. MDPI 2018-11-26 /pmc/articles/PMC6308453/ /pubmed/30486298 http://dx.doi.org/10.3390/s18124141 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chen, Xingtong Liu, Chunguo Liu, Shuo Lyu, Bing Li, Donglai A High Compressibility Pressure—Sensitive Structure Based on CB@PU Yarn Network |
title | A High Compressibility Pressure—Sensitive Structure Based on CB@PU Yarn Network |
title_full | A High Compressibility Pressure—Sensitive Structure Based on CB@PU Yarn Network |
title_fullStr | A High Compressibility Pressure—Sensitive Structure Based on CB@PU Yarn Network |
title_full_unstemmed | A High Compressibility Pressure—Sensitive Structure Based on CB@PU Yarn Network |
title_short | A High Compressibility Pressure—Sensitive Structure Based on CB@PU Yarn Network |
title_sort | high compressibility pressure—sensitive structure based on cb@pu yarn network |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308453/ https://www.ncbi.nlm.nih.gov/pubmed/30486298 http://dx.doi.org/10.3390/s18124141 |
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