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Proposal of Novel Icing Simulation Using a Hybrid Grid- and Particle-Based Method

Published online by Cambridge University Press:  06 August 2020

D. Toba ,
K. Fukudome ,
H. Mamori ,
N. Fukushima  and
M. Yamamoto Open the ORCID record for M. Yamamoto [Opens in a new window]
D. Toba
Affiliation:
Graduate School of Mechanical Engineering Tokyo University of ScienceTokyo, Japan
K. Fukudome
Affiliation:
Department of Mechanical Engineering Tokyo University of ScienceTokyo, Japan
H. Mamori
Affiliation:
Department of Mechanical and Intelligent Systems Engineering University of Electro-CommunicationsTokyo, Japan
N. Fukushima
Affiliation:
Department of Prime Mover Engineering Tokai UniversityTokyo, Japan
M. Yamamoto*
Affiliation:
Department of Mechanical Engineering Tokyo University of ScienceTokyo, Japan
*
*Corresponding author ([email protected])
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Abstract

Icing on aircraft can drastically reduce aerodynamic performance and lead to serious accidents. Therefore, prediction of the accreted ice shape and area and its effects on aerodynamic performance is crucial during the design phase of an aircraft. However, numerical simulations based on conventional grid-based methods such as the finite volume method cannot accurately reproduce the complex ice shapes, which involve horn growth, feather growth, air voids, and severe surface roughness. In the present study, instead of the grid-based method, a hybrid grid- and particle-based method was newly proposed and applied to the icing problem on a NACA0012 airfoil. The explicit moving particle semi-implicit method was employed as the particle-based method due to its short computing time. The numerical simulations effectively reproduced feather-shaped ice, air voids, and surface roughness. Finally, by computing the flow around the iced airfoil, it was confirmed that flow separation around the leading edge occurred due to the ice layer, which resulted in a thicker boundary layer and wake and an increase in the drag coefficient of approximately 70% after a residence time of only 60 seconds.

Keywords

IcingHybrid grid- and particle-based methodNACA0012 airfoilDrag
Type
Research Article
Information
Journal of Mechanics , Volume 36 , Issue 5 , October 2020 , pp. 699 - 706
Copyright
Copyright © 2020 The Society of Theoretical and Applied Mechanics

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References

REFERENCES

Petty, K.R.et al., “A Statistical Review of Aviation Airframe Icing Accidents in the US”, Proc. 11th Conference on Aviation, Range, and Aerospace Hyannis, pp.1-6, (2004).Google Scholar
Harold, E.et al., “Ice Accretions and Icing Effects for Modern Airfoils”, NASA TP2000 210031, pp.1-291, (2000).Google Scholar
Wright, W.B.et al., “DRA/NASA/ONERA Collaboration on Icing Research”, NASA CR202349, pp.32-52, (1997).Google Scholar
Wright, W. B., “Validation Results for LEWICE 3.0”, NASA CR 2005-213561, (2005)CrossRefGoogle Scholar
Ona, K., Toda, K. and Yamamoto, M., “Numerical Simulation of Ice Accretion in Jet Engine Inlet”, Proc. 8th International Symposium on Transport Phenomena and Dynamics of Rotating Machinery, Vol. I, pp.57-63, (2000).Google Scholar
Isobe, K., Suzuki, M. and Yamamoto, M., “Numerical Simulation of Ice Accretion on the Rotor Blade of a Jet Engine Considering Splash and Bounce”, Proc. SAE Aero Tech., 2013-01-2209, pp.1-8. (2013).Google Scholar
Hayashi, R. and Yamamoto, M., “Numerical Simulation on Ice Accretion Phenomena in Rotor-Stator Interaction Field”, Proc. ASME Turbo Expo 2013, ASME2013-95448, pp.1-9, (2013).Google Scholar
Yuki, K. and Yamamoto, M., “SLD Icing Simulation on NACA Airfoil Using MPS Method”, Proc. 11th World Congress on Computational Mechanics, Paper No. 245, pp.1-2, (2014).Google Scholar
Koshizuka, S.et al., “A Particle Method for Incompressible Viscous Flow with Fluid Fragmentation”, Journal of Computational Fluid Dynamics., Vol. 4, pp.29-46, (1995).Google Scholar
Oochi, M.et al., “Explicit MPS Algorism for Free Surface Flow Analysis”, Transactions of the. Japan Society for Computational Engineering and Science, pp.1-5, (2010) (in Japanese).Google Scholar
Yamada, Y.et al., “Numerical Simulation of Three-Dimensional Free-Surface Flows with Explicit Moving Particle Simulation Method”, Transactions of the Atomic Energy Society of Japan, Vol. 10, pp.185-193, (2011).CrossRefGoogle Scholar
Kato, M. and Launder, B. E., “The Modeling of Turbulent Flow around Stationary and Vibrating Square Cylinder”, Proc. 9th Turbulent Shear Flows Symposium, 10-4, pp.1-6, (1993).Google Scholar
Yee, H. C., “Upwind and Symmetric Shock-Capturing Schemes”, NASA-TM-89464, pp. 1-127, (1987).Google Scholar
Fujii, K.et al., “Practical Application of Improved LU-ADI Scheme for the Three-dimensional Navier- Stokes Computations of Transonic Viscous Flows”, AIAA Paper 86-0513, pp.369-370, (1987).Google Scholar
Schiller, L. and Naumann, A., “A Drag Coefficient Correlation”, Z. Ver. Deutsch, Vol. 77, pp.318-320, (1935).Google Scholar
Hagiwara, Y., Ishikawa, S., Kimura, R., Toyohara, K., “Ice Growth and Interface Oscillation of Water Droplets Impinged on a Cooling Wall”, Journal of Crystal Growth, Vol.468, pp.46-53, (2017).Google Scholar