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UAV Icing: Aerodynamic Degradation Caused by Intercycle and Runback Ice Shapes on an RG-15 Airfoil
UAV Icing Lab, Department of Engineering Cybernetics, Norwegian University of Science and Technology, 7491 Trondheim, Norway; UBIQ Aerospace, 7011 Trondheim, Norway.ORCID iD: 0000-0003-4393-1799
UAV Icing Lab, Department of Engineering Cybernetics, Norwegian University of Science and Technology, 7491 Trondheim, Norway; UBIQ Aerospace, 7011 Trondheim, Norway.
Department of Structural Engineering, Norwegian University of Science and Technology, 7491 Trondheim, Norway.ORCID iD: 0000-0003-3563-5041
Department of Energy and Process Engineering, Norwegian University of Science and Technology, 7491 Trondheim, Norway.ORCID iD: 0000-0002-3787-3118
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2024 (English)In: Drones, E-ISSN 2504-446X, Vol. 8, no 12, p. 775-775Article in journal (Refereed) Published
Abstract [en]

Electrothermal de-icing systems are a popular approach to protect unmanned aerial vehicles (UAVs) from the performance degradation caused by in-cloud icing. However, their power and energy requirements must be minimized to make these systems viable for small and medium-sized fixed-wing UAVs. Thermal de-icing systems allow intercycle ice accretions and can result in runback icing. Intercycle and runback ice increase the aircraft’s drag, requiring more engine thrust and energy. This study investigates the aerodynamic influence of intercycle and runback ice on a typical UAV wing. Lift and drag coefficients from a wind tunnel campaign and Ansys FENSAP-ICE simulations are compared. Intercycle ice shapes result in a drag increase of approx. 50% for a realistic cruise angle of attack. While dispersed runback ice increases the drag by 30% compared to the clean wing, a spanwise ice ridge can increase the drag by more than 170%. The results highlight that runback ice can significantly influence the drag coefficient. Therefore, it is important to design the de-icing system and its operation sequence to minimize runback ice. Understanding the need to minimize runback ice helps in designing viable de-icing systems for UAVs.

Place, publisher, year, edition, pages
MDPI AG , 2024. Vol. 8, no 12, p. 775-775
National Category
Civil Engineering
Identifiers
URN: urn:nbn:se:kth:diva-368144DOI: 10.3390/drones8120775ISI: 001384989000001Scopus ID: 2-s2.0-85213271198OAI: oai:DiVA.org:kth-368144DiVA, id: diva2:1987442
Note

QC 20250812

Available from: 2025-08-06 Created: 2025-08-06 Last updated: 2025-08-12Bibliographically approved

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Neunaber, Ingrid

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