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CNT Enabled Co-braided Smart Fabrics: A New Route for Non-invasive, Highly Sensitive & Large-area Monitoring of Composites

The next-generation of hierarchical composites needs to have built-in functionality to continually monitor and diagnose their own health states. This paper includes a novel strategy for in-situ monitoring the processing stages of composites by co-braiding CNT-enabled fiber sensors into the reinforci...

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Autores principales: Luo, Sida, Wang, Yong, Wang, Guantao, Wang, Kan, Wang, Zhibin, Zhang, Chuck, Wang, Ben, Luo, Yun, Li, Liuhe, Liu, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5341057/
https://www.ncbi.nlm.nih.gov/pubmed/28272436
http://dx.doi.org/10.1038/srep44056
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author Luo, Sida
Wang, Yong
Wang, Guantao
Wang, Kan
Wang, Zhibin
Zhang, Chuck
Wang, Ben
Luo, Yun
Li, Liuhe
Liu, Tao
author_facet Luo, Sida
Wang, Yong
Wang, Guantao
Wang, Kan
Wang, Zhibin
Zhang, Chuck
Wang, Ben
Luo, Yun
Li, Liuhe
Liu, Tao
author_sort Luo, Sida
collection PubMed
description The next-generation of hierarchical composites needs to have built-in functionality to continually monitor and diagnose their own health states. This paper includes a novel strategy for in-situ monitoring the processing stages of composites by co-braiding CNT-enabled fiber sensors into the reinforcing fiber fabrics. This would present a tremendous improvement over the present methods that excessively focus on detecting mechanical deformations and cracks. The CNT enabled smart fabrics, fabricated by a cost-effective and scalable method, are highly sensitive to monitor and quantify various events of composite processing including resin infusion, onset of crosslinking, gel time, degree and rate of curing. By varying curing temperature and resin formulation, the clear trends derived from the systematic study confirm the reliability and accuracy of the method, which is further verified by rheological and DSC tests. More importantly, upon wisely configuring the smart fabrics with a scalable sensor network, localized processing information of composites can be achieved in real time. In addition, the smart fabrics that are readily and non-invasively integrated into composites can provide life-long structural health monitoring of the composites, including detection of deformations and cracks.
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spelling pubmed-53410572017-03-10 CNT Enabled Co-braided Smart Fabrics: A New Route for Non-invasive, Highly Sensitive & Large-area Monitoring of Composites Luo, Sida Wang, Yong Wang, Guantao Wang, Kan Wang, Zhibin Zhang, Chuck Wang, Ben Luo, Yun Li, Liuhe Liu, Tao Sci Rep Article The next-generation of hierarchical composites needs to have built-in functionality to continually monitor and diagnose their own health states. This paper includes a novel strategy for in-situ monitoring the processing stages of composites by co-braiding CNT-enabled fiber sensors into the reinforcing fiber fabrics. This would present a tremendous improvement over the present methods that excessively focus on detecting mechanical deformations and cracks. The CNT enabled smart fabrics, fabricated by a cost-effective and scalable method, are highly sensitive to monitor and quantify various events of composite processing including resin infusion, onset of crosslinking, gel time, degree and rate of curing. By varying curing temperature and resin formulation, the clear trends derived from the systematic study confirm the reliability and accuracy of the method, which is further verified by rheological and DSC tests. More importantly, upon wisely configuring the smart fabrics with a scalable sensor network, localized processing information of composites can be achieved in real time. In addition, the smart fabrics that are readily and non-invasively integrated into composites can provide life-long structural health monitoring of the composites, including detection of deformations and cracks. Nature Publishing Group 2017-03-08 /pmc/articles/PMC5341057/ /pubmed/28272436 http://dx.doi.org/10.1038/srep44056 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Luo, Sida
Wang, Yong
Wang, Guantao
Wang, Kan
Wang, Zhibin
Zhang, Chuck
Wang, Ben
Luo, Yun
Li, Liuhe
Liu, Tao
CNT Enabled Co-braided Smart Fabrics: A New Route for Non-invasive, Highly Sensitive & Large-area Monitoring of Composites
title CNT Enabled Co-braided Smart Fabrics: A New Route for Non-invasive, Highly Sensitive & Large-area Monitoring of Composites
title_full CNT Enabled Co-braided Smart Fabrics: A New Route for Non-invasive, Highly Sensitive & Large-area Monitoring of Composites
title_fullStr CNT Enabled Co-braided Smart Fabrics: A New Route for Non-invasive, Highly Sensitive & Large-area Monitoring of Composites
title_full_unstemmed CNT Enabled Co-braided Smart Fabrics: A New Route for Non-invasive, Highly Sensitive & Large-area Monitoring of Composites
title_short CNT Enabled Co-braided Smart Fabrics: A New Route for Non-invasive, Highly Sensitive & Large-area Monitoring of Composites
title_sort cnt enabled co-braided smart fabrics: a new route for non-invasive, highly sensitive & large-area monitoring of composites
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5341057/
https://www.ncbi.nlm.nih.gov/pubmed/28272436
http://dx.doi.org/10.1038/srep44056
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