Article (Scientific journals)
Wind Tunnel Characterization of a Graphene-Enhanced PEDOT:PSS Sensing Element for Aircraft Ice Detection Systems
Farina, D.; Mazio, M.; Machrafi, Hatim et al.
2024In Micromachines, 15 (2)
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Keywords :
aircraft ice detection; artificial intelligence; graphene sensors; hazard management; ice formation; in-flight safety technology; PEDOT:PSS; real-time ice monitoring; resistance signal analysis; wind tunnel; Aircraft; Aircraft detection; Conducting polymers; Drops; Ice; Real time systems; Signal analysis; Wind tunnels; Aircraft ice detection; Flight safety; Graphene sensor; Hazard management; Ice detection; Ice formations; Ice monitoring; In-flight safety technology; PEDOT/PSS; Real- time; Real-time ice monitoring; Resistance signal analyse; Safety technology; Signals analysis; Graphene
Abstract :
[en] This study details the development and validation of a graphene-based ice detection system, designed to enhance flight safety by monitoring ice accumulation on aircraft surfaces. The system employs a semiconductive polymer (PEDOT:PSS) with graphene electrodes, interpreting resistance changes to detect water impact and ice formation in real time. The sensor’s performance was rigorously tested in a wind tunnel under various temperature and airflow conditions, focusing on resistance signal dependency on air temperature and phase change. The results demonstrate the sensor’s ability to distinguish water droplet impacts from ice formation, with a notable correlation between resistance signal amplitude and water droplet impacts leading to ice accretion. Further analysis shows a significant relationship between air temperature and the resistance signal amplitude, particularly at lower temperatures beneficial to ice formation. This underlines the sensor’s precision in varied atmospheric conditions. The system’s compact design and accurate detection highlight its potential for improving aircraft ice monitoring, offering a path toward a robust and reliable ice detection system. © 2024 by the authors.
Disciplines :
Materials science & engineering
Author, co-author :
Farina, D.
Mazio, M.
Machrafi, Hatim ;  Université de Liège - ULiège > Département d'astrophysique, géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles
Queeckers, P.
Iorio, C.S.
Language :
English
Title :
Wind Tunnel Characterization of a Graphene-Enhanced PEDOT:PSS Sensing Element for Aircraft Ice Detection Systems
Publication date :
2024
Journal title :
Micromachines
ISSN :
2072-666X
Volume :
15
Issue :
2
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 29 November 2024

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