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Computer-assisted aircraft anti-icing fluids endurance time determination

Gagnon David, Brassard Jean-Denis, Ezzaidi Hassan et Volat Christophe. (2020). Computer-assisted aircraft anti-icing fluids endurance time determination. Aerospace, 7, (4), p. 39-53.

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URL officielle: http://dx.doi.org/doi:10.3390/aerospace7040039

Résumé

Deicing and anti-icing the aircraft using proper chemical fluids, prior takeoff, are mandatory. A thin layer of ice or snow can compromise the safety, causing lift loss and drag increase. Commercialized deicing and anti-icing fluids all pass a qualification process which is described in Society of Automotive Engineering (SAE) documents. Most of them are endurance time tests under freezing and frozen contaminants, under simulated and natural conditions. They all have in common that the endurance times have to be determined by visual inspection. When a certain proportion of the test plate is covered with contaminants, the endurance time test is called. In the goal of minimizing human error resulting from visual inspection and helping in the interpretation of fluid failure, help-decision computer-assisted algorithms have been developed and tested under different conditions. The algorithms are based on common image processing techniques. The algorithms have been tested under three different icing conditions, water spray endurance test, indoor snow test and light freezing rain tests, and were compared to the times determined by three experimented technicians. A total of 14 tests have been compared. From them, 11 gave a result lower than 5% of the results given by the technicians. In conclusion, the computer-assisted algorithms developed are efficient enough to support the technicians in their failure call. However, further works need to be performed to improve the analysis.

Type de document:Article publié dans une revue avec comité d'évaluation
ISSN:2226-4310
Volume:7
Numéro:4
Pages:p. 39-53
Version évaluée par les pairs:Oui
Date:2020
Identifiant unique:10.3390/aerospace7040039
Sujets:Sciences naturelles et génie > Génie
Sciences naturelles et génie > Génie > Génie électrique et génie électronique
Sciences naturelles et génie > Sciences appliquées
Département, module, service et unité de recherche:Départements et modules > Département des sciences appliquées > Module d'ingénierie
Unités de recherche > Centre international de recherche sur le givrage atmosphérique et l’ingénierie des réseaux électriques (CENGIVRE) > Laboratoire international des matériaux antigivres (LIMA)
Mots-clés:icing, snow, anti-icing fluids, image analysis, MATLAB, givrage, neige, fluides antigivrage, analyse d'images
Déposé le:17 mars 2022 15:40
Dernière modification:17 mars 2022 15:40
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