Photonic Integrated Circuit Based Temperature Sensor forOut-of-Autoclave Composite Parts Production Monitoring.
Bragg gratings
PIC
composites
optical
photonics
production monitoring
temperature sensor
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
08 Sep 2023
08 Sep 2023
Historique:
received:
27
07
2023
revised:
05
09
2023
accepted:
06
09
2023
medline:
28
9
2023
pubmed:
28
9
2023
entrez:
28
9
2023
Statut:
epublish
Résumé
The use of composite materials has seen widespread adoption in modern aerospace industry. This has been facilitated due to their favourable mechanical characteristics, namely, low weight and high stiffness and strength. For broader implementation of those materials though, the out-of-autoclave production processes have to be optimized, to allow for higher reliability of the parts produced as well as cost reduction and improved production speed. This optimization can be achieved by monitoring and controlling resin filling and curing cycles. Photonic Integrated Circuits (PICs), and, in particular, Silicon Photonics, owing to their fast response, small size, ability to operate at higher temperatures, immunity to electromagnetic interference, and compatibility with CMOS fabrication techniques, can offer sensing solutions fulfilling the requirements for composite material production using carbon fibres. In this paper, we demonstrate a passive optical temperature sensor, based on a 220 nm height Silicon-on-Insulator platform, embedded in a composite tool used for producing RTM-6 composite parts of high quality (for use in the aerospace industry). The design methodology of the photonic circuit as well as the experimental results and comparison with the industry standard thermocouples during a thermal cycling of the tool are presented. The optical sensor exhibits high sensitivity (85 pm/°C), high linearity (R
Identifiants
pubmed: 37765822
pii: s23187765
doi: 10.3390/s23187765
pmc: PMC10538109
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : European Union's H2020 innovation program
ID : 871875
Références
Micromachines (Basel). 2020 Jul 08;11(7):
pubmed: 32650573
Sci Rep. 2017 Nov 30;7(1):16670
pubmed: 29192215
Nanoscale. 2022 Feb 10;14(6):2465-2474
pubmed: 35103269
Sensors (Basel). 2019 Feb 20;19(4):
pubmed: 30791563
Photonix. 2021;2(1):18
pubmed: 34806024
Sensors (Basel). 2014 Apr 23;14(4):7394-419
pubmed: 24763215
Polymers (Basel). 2022 Nov 18;14(22):
pubmed: 36433134
Sensors (Basel). 2022 May 07;22(9):
pubmed: 35591251