Numerical analysis of ice accretion on an airfoil: A case study
DOI:
https://doi.org/10.17533/udea.redin.20241145Keywords:
Aircraft icing, computational fluid dynamics, airworthiness, aerodynamicsAbstract
The accumulation of ice on aircraft surfaces is known to endanger flight safety, which has driven the study and development of various methods to prevent this issue. A frequent problem aircrafts suffer is the ice accumulation on wings when flying across clouds with supercooled droplets. The shape and size of the ice accretion depend essentially on the flying speed, air temperature, number and size of microdroplets present in the atmosphere, and the exposure time to ice formation conditions. The numerical analysis of ice accretion involves differential equations for the resolution of the air velocity field, the transport of droplets, and their icing and melting. In this work, numerical models implemented in ANSYS CFD and Fensap-Ice codes are validated against experimental results and then applied to compute the ice formation on an MS(1)-0313 airfoil, used in a SAAB 340 wings, an aircraft that suffered a lethal accident in the Argentine Patagonia on May 18th, 2011. The simulation parameters were chosen based on meteorological reports of that day and the type of clouds that were present at the time of the accident. The goal of this work is to apply Fensap-Ice to verify whether icing on the wings could have been the cause of the accident. The results of this study confirm that the hypothesis is highly probable.
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References
Y. Cao, W. Tan, and Z. Wu, “Aircraft icing: An ongoing threat to aviation safety,” Aerosp. Sci. Technol., vol. 75, 2018. [Online]. Available: https://doi.org/10.1016/j.ast.2017.12.028.
M. B. Bragg and E. Loth, “Effects of large-droplet ice accretion on airfoil and wing aerodynamics and control,” Office of Aviation Research, Washington, D.C., Tech. Rep. DOT/FAA/AR-00/14, Mar. 2000. [Online]. Available: https://apps.dtic.mil/sti/tr/pdf/ADA379331.pdf.
N. A. T. Organization, “Ice accretion simulation,” Advisory Group for Aerospace Research & Development (AGARD), Neuilly Sur Seine, France, Tech. Rep. AGARD-AR-344, 1997. [Online]. Available: https://www.sto.nato.int/publications/AGARD/Forms/AGARD.
S. Mousavi, F. Sotoudeh, B. Chun, B. J. Lee, N. Karimi, and S. A. Faroughi, “The potential for anti-icing wing and aircraft applications of mixed-wettability surfaces - a comprehensive review,” Cold Reg. Sci. Technol., vol. 217, 2024. [Online]. Available: https://doi.org/10.1016/j.coldregions.2023.104042.
Z. Janjua, B. Turnbull, S. Hibberd, and K. Choi, “Mixed ice accretion on aircraft wings,” Phys. Fluids, vol. 30, no. 2, 2018. [Online]. Available: https://doi.org/10.1063/1.5007301.
F. Piscitelli, S. Palazzo, and F. D. Nicola, “Icing wind tunnel test campaign on a nacelle lip-skin to assess the effect of a superhydrophobic coating on ice accretion,” Appl. Sci., vol. 13, no. 8, 2023. [Online]. Available: https://doi.org/10.3390/app13085183.
D. I. Ignatyev, A. N. Khrabrov, A. I. Kortukova, D. A. Alieva, M. E. Sidoryuk, and S. G. Bazhenov, “Interplay of unsteady aerodynamics and flight dynamics of transport aircraft in icing conditions,” Aerosp. Sci. Technol., vol. 104, 2020. [Online]. Available: https://doi.org/10.1016/j.ast.2020.105914.
M. Muhammed and M. S. Virk, “Ice accretion on rotary-wing unmanned aerial vehicles - a review study,” Aerospace, vol. 10, no. 3, 2023. [Online]. Available: https://doi.org/10.3390/aerospace10030261.
B. Sengupta, R. L. Prince, M. Y. Cho, C. Son, T. Yoon, K. Yee, and R. S. Myong, “Computational simulation of ice accretion and shedding trajectory of a rotorcraft in forward flight with strong rotor wakes,” Aerosp. Sci. Technol., vol. 119, 2021. [Online]. Available: https://doi.org/10.1016/j.ast.2021.107140.
H. Li, Y. Zhang, and H. Chen, “Optimization design of airfoils under atmospheric icing conditions for UAV,” Chin. J. Aeronaut., vol. 35, no. 4, 2022. [Online]. Available: https://doi.org/10.1016/j.cja.2021.04.031.
J. Dai, H. Li, Y. Zhang, and H. Chen, “Optimization of multi-element airfoil settings considering ice accretion effect,” Chin. J. Aeronaut., vol. 36, no. 2, 2023. [Online]. Available: https://doi.org/10.1016/j.cja.2022.07.016.
Wikipedia, “Voepass Linhas Aéreas Flight 2283,” n.d., retrieved Aug. 21, 2024. [Online]. Available: https://en.wikipedia.org/wiki/Voepass_Linhas_A%C3%A9reas_Flight_2283.
H. Addy, “Ice accretions and icing effects for modern airfoils,” NASA, Tech. Rep., 2000, NASA Technical Report 2000-210031.
W. Habashi, F. Morency, and H. Beaugendre, “FENSAP-ICE: A second generation 3D CFD-based in-flight icing simulation system,” SAE Tech. Pap. Ser., Tech. Rep., 2003. [Online]. Available: https://doi.org/10.4271/2003-01-2157.
K. Nakakita, S. Nadarajah, and W. Habashi, “Toward real-time aero-icing simulation of complete aircraft via FENSAP-ICE,” J. Aircr., vol. 47, no. 1, 2010. [Online]. Available: https://doi.org/10.2514/1.44077.
H. Beaugendre, F. Morency, and W. G. Habashi, “FENSAP-ICE’s three-dimensional inflight ice accretion module: ICE3D,” J. Aircr., vol. 40, 2022. [Online]. Available: https://doi.org/10.2514/2.3113.
W. Yoon, J. Kim, C. Chung, and J. Park, “Numerical study on prediction of icing phenomena in intake system of diesel engine: Operating conditions with low-to-middle velocity of inlet air,” Energy, vol. 248, 2022. [Online]. Available: https://doi.org/10.1016/j.energy.2022.123569.
M. Alexandrescu and N. Alexandrescu, “Numerical simulation of ice accretion on airfoil,” INCAS Bull., vol. 1, 2009. [Online]. Available: https://doi.org/10.13111/2066-8201.2009.1.1.4.
F. Meng, Z. C. W. D., and M. H., “Experimental and numerical investigation of ice accretion on airfoil,” in Fourth International Symposium on Physics of Fluids (ISPF4), vol. 19, 2012. [Online]. Available: https://doi.org/10.1142/S2010194512008793.
Y. Cao, C. Ma, Q. Zhang, and J. Sheridan, “Numerical simulation of ice accretions on an aircraft wing,” Aerosp. Sci. Technol., vol. 23, 2012. [Online]. Available: https://doi.org/10.1016/j.ast.2011.08.004.
S. Li, J. Qin, M. He, and R. Paoli, “Fast evaluation of aircraft icing severity using machine learning based on XGBoost,” Aerospace, vol. 7, no. 36, 2020. [Online]. Available: https://doi.org/10.3390/aerospace7040036.
S. Strijhak, D. Ryazanov, K. Koshelev, and A. Ivanov, “Neural network prediction for ice shapes on airfoils using ICEFOAM simulations,” Aerospace, vol. 9, no. 96, 2022. [Online]. Available: https://doi.org/10.3390/aerospace9020096.
M. Costes and F. Moens, “Advanced numerical prediction of iced airfoil aerodynamics,” Aerosp. Sci. Technol., vol. 91, 2013. [Online]. Available: https://doi.org/10.1016/j.ast.2019.05.010.
P. Spalart and S. Allmaras, “A one-equation turbulence model for aerodynamic flows,” Rech. Aérospatiale, vol. 1, 1994. [Online]. Available: https://doi.org/10.2514/6.1992-439.
L. A. Farabello, Análisis computacional de formación de hielo en perfiles aerodinámicos, Universidad Nacional de La Plata, Tech. Rep., 2019. [Online]. Available: http://sedici.unlp.edu.ar/handle/10915/121536.
A. INC., ANSYS FENSAP-ICE User Manual V. 18.1, 2017. [Online]. Available: https://ansyshelp.ansys.com/public/account/secured?returnurl=/Views/Secured/corp/v242/en/fensap_manual/fensap_manual.html.
J. D. Rosero-Ariza, J. L. Chacón-Velasco, and G. González-Silva, “Comparative CFD analysis of six VAWT turbines in the Chicamocha Canyon,” Rev. Fac. Ing. Univ. Antioquia, no. 113, 2024. [Online]. Available: https://doi.org/10.17533/udea.redin.20240413.
JIAAC, “Technical Report 096/2011: Accident that occurred on 18 May 2011, Aircraft Saab 340 A, LV-CEJ,” Aircraft Saab 340 A, Tech. Rep., Mar. 2015. [Online]. Available: https://asn.flightsafety.org/asndb/321116.
FAR/CS, Aircraft Icing: Appendix C to Part 25, FAR/CS 25 Airworthiness Standards: Transport Category Airplanes, Tech. Rep., 2014. [Online]. Available: https://www.ecfr.gov/current/title-14/chapter-I/subchapter-C/part-25?toc=1.
FAR/AC, FAR/AC 25/28: Compliance of Transport Category Airplanes with Certification Requirements for Flight in Icing Conditions, Federal Aviation Administration, Tech. Rep., Oct. 2014. [Online]. Available: https://www.faa.gov/regulations_policies/advisory_circulars/index.cfm/go/document.information/documentID/1019691.
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