Title
Dynamic strain measurements on automotive and aeronautic composite components by means of embedded fiber bragg grating sensors Dynamic strain measurements on automotive and aeronautic composite components by means of embedded fiber bragg grating sensors
Author
Faculty/Department
Faculty of Applied Engineering Sciences
Publication type
article
Publication
Subject
Physics
Chemistry
Engineering sciences. Technology
Source (journal)
Sensors. - -
Volume/pages
15(2015) :10 , p. 27174-27200
ISSN
1424-8220
1424-8220
ISI
000364242300128
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
The measurement of the internal deformations occurring in real-life composite components is a very challenging task, especially for those components that are rather difficult to access. Optical fiber sensors can overcome such a problem, since they can be embedded in the composite materials and serve as in situ sensors. In this article, embedded optical fiber Bragg grating (FBG) sensors are used to analyze the vibration characteristics of two real-life composite components. The first component is a carbon fiber-reinforced polymer automotive control arm; the second is a glass fiber-reinforced polymer aeronautic hinge arm. The modal parameters of both components were estimated by processing the FBG signals with two interrogation techniques: the maximum detection and fast phase correlation algorithms were employed for the demodulation of the FBG signals; the Peak-Picking and PolyMax techniques were instead used for the parameter estimation. To validate the FBG outcomes, reference measurements were performed by means of a laser Doppler vibrometer. The analysis of the results showed that the FBG sensing capabilities were enhanced when the recently-introduced fast phase correlation algorithm was combined with the state-of-the-art PolyMax estimator curve fitting method. In this case, the FBGs provided the most accurate results, i.e., it was possible to fully characterize the vibration behavior of both composite components. When using more traditional interrogation algorithms (maximum detection) and modal parameter estimation techniques (Peak-Picking), some of the modes were not successfully identified.
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Full text (open access)
https://repository.uantwerpen.be/docman/irua/a7b704/130128.pdf
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