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Application of Extended Messinger Models to Complex Geometries
Technical Paper
2020-01-0022
ISSN: 0148-7191, e-ISSN: 2688-3627
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Event:
AeroTech
Language:
English
Abstract
Since, ice accretion can significantly degrade the performance and the stability of an airborne vehicle, it is imperative to be able to model it accurately. While ice accretion studies have been performed on airplane wings and helicopter blades in abundance, there are few that attempt to model the process on more complex geometries such as fuselages. This paper proposes a methodology that extends an existing in-house Extended Messinger solver to complex geometries by introducing the capability to work with unstructured grids and carry out spatial surface streamwise marching.
For the work presented here commercial solvers such as STAR-CCM+ and ANSYS Fluent are used for the flow field and droplet dispersed phase computations. The ice accretion is carried out using an in-house icing solver called GT-ICE. The predictions by GT-ICE are compared to available experimental data, or to predictions by other solvers such as LEWICE and STAR-CCM+. Three different cases with varying levels of complexity are presented. The first case considered is a commercial transport airfoil, followed by a three-dimensional MS(1)-317 swept wing. Finally, ice accretion calculations performed on a Robin fuselage have been discussed. Good agreement with experimental data, where applicable, is observed. Differences between the ice accretion predictions by different solvers have been discussed.
Authors
Citation
Gupta, A., Sankar, L., and Kreeger, R., "Application of Extended Messinger Models to Complex Geometries," SAE Technical Paper 2020-01-0022, 2020, https://doi.org/10.4271/2020-01-0022.Data Sets - Support Documents
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References
- Messinger , B.L. Equilibrium Temperature of an Unheated Icing Surface as a Function of Air Speed Journal of the Aeronautical Sciences 29 42 Jan. 1953
- Bourgault , Y. , Boutanios , Z. , and Habashi , W. FENSAP-ICE’s Three-Dimensional In-Flight Ice Accretion Module, ICE3D Journal of Aircraft 37 1 95 103 2000
- Bourgault , Y. , Beaugendre , H. , and Habashi , W.G. Development of a Shallow-Water Icing Model in FENSAP-ICE Journal of Aircraft 37 4 640 646 2000
- Habashi , W.G. , Morency , F. , and Beaugendre , H. FENSAP-ICE: A Comprehensive 3D Simulation Tool for In-Flight Icing 7th International Congress of fluid Dynamics and Propulsion Sharm-El-Sheikh, Egypt Dec. 2001
- Beaugendre , H. , Morency , F. , and Habashi , W.G. FENSAP-ICE’s Three-Dimensional In-Flight Ice Accretion Module: ICE3D Journal of Aircraft 40 2 239 247 Mar.-Apr. 2003
- Beaugendre , H. June 2003
- Tran , P. , Baruzzi , G.S. , Akel , I. , Habashi , W.G. et al. FENSAP-ICE Applications to Complete Rotorcraft Configurations SAE Trans.: J. Aerosp. 112 1 1 13 2003 https://www.jstor.org/stable/44699176
- Fouladi , H. , Habashi , W.G. , and Ozcer , I.A. Quasi-Steady Modeling of Ice Accretion on a Helicopter Fuselage in Forward Flight Journal of Aircraft 50 4 1169 1178 July-Aug. 2013
- Potapczuk , M.G. 1992
- Wright , W.B. and Rutkowski , A. Nov. 1998
- Wright , W.B. Dec. 1999
- Wright , W.B. Validation Methods and Results for a Two-Dimensional Ice Accretion Code Journal of Aircraft 35 5 Sept. 1999
- Wright , W.B. Aug. 2002
- Wright , W.B. Jan. 2005
- Wright , W.B. Nov. 2008
- Bidwell , C.S. and Potapczuk , M.G. Dec. 1993
- Bidwell , C.S. and Mohler , S.R. Jr. Collection Efficiency and Ice Accretion Calculations for a Sphere, a Swept MS(1)-317 Wing, a Swept NACA-0012 Wing Tip, an Axisymmetric Inlet, and a Boeing 737-300 Inlet American Institute of Aeronautics and Astronautics 33rd Aerospace Sciences Meeting Exhibit Reno, NV Jan. 1995
- Myers , T.G. Extension to the Messinger Model for Aircraft Icing AIAA Journal 39 2 211 218 Feb. 2001
- Kim , J. 2015
- Kim , J. , Sankar , L. , and Kreeger , R.E. Assessment of Classical Extended Messinger Models for Modeling Rotorcraft Icing Phenomena Proceedings of the 40th European Rotorcraft Forum Sept. 2014
- Gupta , A. , Sankar , L.N. , Halloran , E. , Palacios , J. et al. Development and Validation of Physics Based Models for Ice Shedding Proceedings of the 44th European Rotorcraft Forum Sept. 2018
- Gupta , A. , Sankar , L.N. , and Kreeger , R. Modeling Ice Accretion: Full Integration into Navier-Stokes Solver Vertical Flight Society 75th Annual Forum and Technology Display Philadelphia, PA May 2019
- STAR-CCM+ Tutorials 2019
- Jones , W.P. and Launder , B.E. The Prediction of Laminarization with a Two-Equation Model of Turbulence International Journal of Heat and Mass Transfer 15 301 314 1972
- Rodi , W. Experience with Two-Layer Models Combining the k-e Model with a One-Equation Model Neat the Wall American Institute of Aeronautics and Astronautics 29th Aerospace Sciences Meeting Reno, NV Jan. 1991
- Spalart , P.R. and Allmaras , S.R. 1992
- Schiller , L. and Naumann , A. Uber die grundlegenden Berechnungen bei der Schwerkraftaufbereitung VDI Zeits 77 12 318 320 1933
- Ranz , W.E. and Marshall , W.R. Evaporation from Drops - Parts I and II Chemical Engineering Progress 48 3 141 1952
- Addy , H.E. Jr.
- Freeman , C.E. and Mineck , R.E. 1979
- Tecplot, Inc. 2019