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https://bura.brunel.ac.uk/handle/2438/24019Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Zitoun, Akram | - |
| dc.contributor.author | Fakis, Dimitrios | - |
| dc.contributor.author | Jayasree, Nithin | - |
| dc.contributor.author | Omairey, Sadik | - |
| dc.contributor.author | Oikonomidis, Fokion | - |
| dc.contributor.author | Stoeva, Zlatka | - |
| dc.contributor.author | Kazilas, Mihalis | - |
| dc.date.accessioned | 2022-01-29T11:50:16Z | - |
| dc.date.available | 2022-01-29T11:50:16Z | - |
| dc.date.issued | 2022-01-24 | - |
| dc.identifier.citation | Zitoun, A., et al. (2022) 'Graphene-based strain sensing in composites for structural and health monitoring applications', SN Applied Sciences, 4, 58, pp. 1–17. doi: 10.1007/s42452-022-04940-1. | en_US |
| dc.identifier.issn | 2523-3963 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/24019 | - |
| dc.description.abstract | Composite structures are attracting more interest due to their outstanding mechanical properties; thus, their inspection and health assessment are key items for their safe use. In this article we present a graphene-based sensor that evaluates the strain generated within a composite. A finite element model was developed to investigate the mechanism driving the graphene to act as a strain sensor. A prototype sensor was manufactured, using a commercially available graphene ink. The strain in composite samples was measured and the gauge factor identified by applying different load scenarios. The graphene sensor proved to be able to evaluate strain at various levels providing a gauge factor (exceeding 6) higher than commercially available strain gauges. | en_US |
| dc.description.sponsorship | Innovate UK for the project GRAPHOSITE “A Graphene Sensor for Defect Detection and Predictive Maintenance in Composite Materials” [grant number 104266]. | en_US |
| dc.format.extent | pp. 1–17 | - |
| dc.format.medium | Print-Electronic | - |
| dc.language.iso | en | en_US |
| dc.publisher | Springer Nature | en_US |
| dc.rights | Creative Commons Attribution 4.0 International License | - |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
| dc.subject | graphene strain sensors | en_US |
| dc.subject | composite materials | en_US |
| dc.subject | structural and health monitoring | en_US |
| dc.subject | graphene sensors | en_US |
| dc.title | Graphene-based strain sensing in composites for structural and health monitoring applications | en_US |
| dc.type | Article | en_US |
| dc.date.dateAccepted | 2022-01-10 | - |
| dc.identifier.doi | https://doi.org/10.1007/s42452-022-04940-1 | - |
| dc.relation.isPartOf | SN Applied Sciences | en_US |
| pubs.publication-status | Published | - |
| pubs.volume | 4 | - |
| dc.identifier.eissn | 2523-3971 | - |
| dc.rights.license | https://creativecommons.org/licenses/by/4.0/legalcode.en | - |
| dcterms.dateAccepted | 2022-01-10 | - |
| dcterms.description | Article Highlights: • Graphene ink can be used to design and develop strain sensing systems • Graphene strain sensors are printed directly on the material allowing great design flexibility. The sensors can either be applied on the surface of the composite material or embedded within the structure. • The measured gauge factor for the graphene strain sensor is higher that the commercial strain sensors. • The graphene strain sensors provided higher sensing capabilities compared to commercially available copper-based strain gauges. • The graphene sensor showed consistent results for different mechanical testing scenarios. | en_US |
| dc.rights.holder | The Author(s) | - |
| dc.contributor.orcid | Zitoun, Akram [0000-0002-8805-1085] | - |
| dc.contributor.orcid | Jayasree, Nithin [0000-0001-5537-063X] | - |
| dc.contributor.orcid | Omairey, Sadik [0000-0001-9991-5291] | - |
| dc.contributor.orcid | Kazilas, Mihalis [0000-0001-6613-9118] | - |
| dc.identifier.number | 58 | - |
| Appears in Collections: | Department of Mechanical and Aerospace Engineering Research Papers | |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2022 The Author(s). 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 https://creativecommons.org/licenses/by/4.0/. | 9.79 MB | Adobe PDF | View/Open |
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