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Computer-Assisted Aircraft Anti-Icing Fluids Endurance Time Determination

Anti-Icing Materials International Laboratory (AMIL), Department of Applied Sciences, Université du Québec à Chicoutimi (UQAC), 555 Boulevard de l’Université, Chicoutimi, QC G7H2B1, Canada
Author to whom correspondence should be addressed.
Aerospace 2020, 7(4), 39;
Received: 29 January 2020 / Revised: 23 March 2020 / Accepted: 3 April 2020 / Published: 8 April 2020
(This article belongs to the Special Issue Deicing and Anti-Icing of Aircraft)
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. View Full-Text
Keywords: icing; snow; anti-icing fluids; image analysis; MATLAB icing; snow; anti-icing fluids; image analysis; MATLAB
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MDPI and ACS Style

Gagnon, D.; Brassard, J.-D.; Ezzaidi, H.; Volat, C. Computer-Assisted Aircraft Anti-Icing Fluids Endurance Time Determination. Aerospace 2020, 7, 39.

AMA Style

Gagnon D, Brassard J-D, Ezzaidi H, Volat C. Computer-Assisted Aircraft Anti-Icing Fluids Endurance Time Determination. Aerospace. 2020; 7(4):39.

Chicago/Turabian Style

Gagnon, David, Jean-Denis Brassard, Hassan Ezzaidi, and Christophe Volat. 2020. "Computer-Assisted Aircraft Anti-Icing Fluids Endurance Time Determination" Aerospace 7, no. 4: 39.

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