In Situ Detection of Water Leakage for Textile-Reinforced Composites.

composite resin metallic and carbon-based conductive yarns water leak detection

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
20 Nov 2020
Historique:
received: 28 09 2020
revised: 03 11 2020
accepted: 17 11 2020
entrez: 25 11 2020
pubmed: 26 11 2020
medline: 26 11 2020
Statut: epublish

Résumé

By incorporating electrically conductive yarns into a waterproof membrane, one can detect epoxy resin cracking or liquid leakage. Therefore, this study examined the electrical conductivity variations of several yarns (metallic or carbon-based) for cracking and water detection. The first observations concerned the detectors' feasibility by investigating their conductivity variations during both their resin implementation processes and their resin cracking. Throughout this experiment, two phenomena were detected: the compression and the separation of the fibres by the resin. In addition, the resin cracking had an important role in decreasing the yarns' conductivity. The second part of this study concerned water detection. Two principles were established and implemented, first with yarns and then with yarns incorporated into the resin. First, the principle of absorption was based on the conductivity variation with the yarns' swelling after contact with water. A short circuit was established by the creation of a conductive path when a drop of water was deposited between two conductive, parallel yarns. Through the influence of the yarns' properties, this study explored the metallic yarns' capacity to better detect water with a short circuit and the ability of the carbon-based yarns to detect water by the principle of absorption.

Identifiants

pubmed: 33233495
pii: s20226641
doi: 10.3390/s20226641
pmc: PMC7699528
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Sensors (Basel). 2019 Feb 27;19(5):
pubmed: 30818763
Sensors (Basel). 2020 Jun 23;20(12):
pubmed: 32585909
Polymers (Basel). 2020 Oct 08;12(10):
pubmed: 33050041

Auteurs

Julie Regnier (J)

ENSAIT (Ecole Nationale Supérieure des Arts et Industries Textiles), Institute Centrale Lille, GEMTEX, Laboratoire de Génie et Matériaux Textiles, 2 Allée Louise et Victor Champier, 59056 Roubaix CEDEX 1, F-59000 Lille, France.

Aurélie Cayla (A)

ENSAIT (Ecole Nationale Supérieure des Arts et Industries Textiles), Institute Centrale Lille, GEMTEX, Laboratoire de Génie et Matériaux Textiles, 2 Allée Louise et Victor Champier, 59056 Roubaix CEDEX 1, F-59000 Lille, France.

Christine Campagne (C)

ENSAIT (Ecole Nationale Supérieure des Arts et Industries Textiles), Institute Centrale Lille, GEMTEX, Laboratoire de Génie et Matériaux Textiles, 2 Allée Louise et Victor Champier, 59056 Roubaix CEDEX 1, F-59000 Lille, France.

Eric Devaux (E)

ENSAIT (Ecole Nationale Supérieure des Arts et Industries Textiles), Institute Centrale Lille, GEMTEX, Laboratoire de Génie et Matériaux Textiles, 2 Allée Louise et Victor Champier, 59056 Roubaix CEDEX 1, F-59000 Lille, France.

Classifications MeSH