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Strain sensing in GFRP via fully integrated carbon nanotube epoxy film sensors
Citation Link: https://doi.org/10.15480/882.4118
Publikationstyp
Journal Article
Publikationsdatum
2021-10
Sprache
English
Enthalten in
Volume
6
Article Number
100191
Citation
Composites Part C: Open Access 6 : 100191 (2021-10)
Publisher DOI
Scopus ID
Publisher
Elsevier
Structural health monitoring of composite structures enables early damage detection to prevent critical component failure. Surface-mounted strain gauges are commonly applied to monitor the integrity of composite structures in highly loaded areas. However, strain gauges can only measure strain on the structure's surface and are exposed to environmental influences. Within this paper, fully integrated carbon nanotube thin-film sensors for strain and damage sensing in glass fibre reinforced polymers (GFRP) via electrical resistance measurements are presented. Single wall carbon nanotube epoxy thin-films were manufactured using a manual film applicator, partially pre-cured, placed on dry glass fabrics and infused in a resin transfer moulding process. The mechanical properties of the composites and strain sensing capabilities of the integrated sensors were studied for various load cases and different laminate lay-ups. Results of quasi-static and step-wise three-point bending and tensile tests show that the integrated films allow for localised strain measurements in GFRP without significant loss of mechanical properties. Open hole tensile tests proof the ability to monitor local strain and damage in highly loaded areas enabling failure prediction via threshold resistance change values. The proposed thin-films enable a tailored strain and damage monitoring of GFRP offering the possibility for measurements at different material depths, over large sections or selectively in highly loaded areas. The manufacturing process is easily automatable and suitable for large scale manufacturing.
Schlagworte
Damage
Glass fibre
Health monitoring
Multifunctional composite
SHM
DDC Class
540: Chemie
600: Technik
620: Ingenieurwissenschaften
Funding Organisations
More Funding Information
This research was funded by the Deutsche Forschungsgemeinschaft (DFG - German Research Foundation) within the project number 393868053.
We acknowledge support for the Open Access fees by Hamburg University of Technology (TUHH) in the funding programme Open Access Publishing.
We acknowledge support for the Open Access fees by Hamburg University of Technology (TUHH) in the funding programme Open Access Publishing.
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