Assessment of the Measurement Performance of the Multimodal Fibre Optic Shape Sensing Configuration for a Morphing Wing Section.
Fibre Bragg Grating
experimental mechanics
morphing wing
multimodal sensing
optical fibre sensing
optical interferometry
shape sensing
spectral sensing
strain measurement
structural health monitoring
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
12 Mar 2022
12 Mar 2022
Historique:
received:
10
01
2022
revised:
27
02
2022
accepted:
04
03
2022
entrez:
26
3
2022
pubmed:
27
3
2022
medline:
1
4
2022
Statut:
epublish
Résumé
In this paper, with the final aim of shape sensing for a morphing aircraft wing section, a developed multimodal shape sensing system is analysed. We utilise the method of interrogating a morphing wing section based on the principles of both hybrid interferometry and Fibre Bragg Grating (FBG) spectral sensing described in our previous work. The focus of this work is to assess the measurement performance and analyse the errors in the shape sensing system. This includes an estimation of the bending and torsional deformations of an aluminium mock-up section due to static loading that imitates the behaviour of a morphing wing trailing edge. The analysis involves using a detailed calibration procedure and a multimodal sensing algorithm to measure the deflection and shape. The method described In this paper, uses a standard single core optical fibre and two grating pairs on both the top and bottom surfaces of the morphing section. A study on the fibre placement and recommendations for efficient monitoring is also included. The analysis yielded a maximum deflection sensing error of 0.7 mm for a 347 × 350 mm wing section.
Identifiants
pubmed: 35336381
pii: s22062210
doi: 10.3390/s22062210
pmc: PMC8954863
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Delft University of Technology
ID : Project SmartX
Références
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