Journal of computational fluids engineering (한국전산유체공학회지)

Korean Society of Computational Fluids Engineering (한국전산유체공학회)
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DEVELOPMENT OF 2ND GENERATION ICE ACCRETION ANALYSIS PROGRAM FOR HANDLING GENERAL 3-D GEOMETRIES

3차원 착빙 형상 예측을 위한 2세대 시뮬레이션 코드 개발

  • Son, Chankyu (Institute of Advanced Aerospace Technology, Seoul National Univ.) ;
  • Oh, Sejong (Dept. of Aerospace Engineering, Pusan National Univ.) ;
  • Yee, Kwanjung (Dept. of Mechanical & Aerospace Engineering, Seoul National Univ.)
  • 손찬규 (서울대학교 항공우주신기술연구소) ;
  • 오세종 (부산대학교 항공우주공학과) ;
  • 이관중 (서울대학교 기계항공공학부)
  • Received : 2015.04.30
  • Accepted : 2015.05.28
  • Published : 2015.06.30
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Abstract

The $2^{nd}$ generation ice accretion analysis program has been developed and validated for various icing conditions. The essential feature of the $2^{nd}$ generation code lies in its capability of handling general 3-D geometry and improved accuracy. The entire velocity fields are obtained based on Navier-Stokes equations in order to take the massively separated flow field into account. Unlike $1^{st}$ generation code, the droplet trajectories are calculated using Eulerian approach, which is adopted to yield appropriate collection efficiency even in the shadow region. For improved thermodynamic analysis on the surfaces, water film model and modified Messinger model are newly included in the present analysis. The ice shape for a given time step is obtained by considering the exact amount of ice accreted on the surface. Each module of the icing analysis code has been seamlessly integrated on the OpenFOAM platform. The developed code was validated against available experimental data for 2D airfoils and 3D DLR-F4. Due to the lack of experimental data, the computed results of DLR-F4 were compared with those obtained from FENSAP-ICE, which is state-of-the-art 3D icing analysis code. It was clearly shown that the present code produces comparable results to those of FENSAP-ICE, in terms of prediction accuracy and the capability of handling general 3-D geometries.

Keywords

References

  1. 2002, Jeck, R.K., "Icing Design Envelopes(14 CFR Parts 25 and 29, Appendix C) Converted to a Distance-Based Format," Federal Aviation Administration, DOT/FAA/AR-00/30.
  2. 1997, Wright, W.B., Gent, R.W. and Guffond, D., "DRA/NASA/ONERA Collaboration on Icing Research Part II- Prediction of Airfoil Ice Accretion," NASA Contractor Report 202349.
  3. 1953, Messinger, B.L., "Equilibrium Temperature of an Unheated Icing Surface as a Function of Air Speed," Journal of the Aeronautical Science, Vol.20, No.1, pp.29-42. https://doi.org/10.2514/8.2520
  4. 2003, Beaugendre, H., Morency, F. and Habashi, W.G., "FENSAP-ICE's Three-Dimensional In-Flight Ice Accretion Module: ICE3D," Vol.40, No.2, pp.239-247.
  5. 2012, Villedieu, P., Trontin, P., Guffond, D. and Bobo, D., "SLD Lagrangian Modeling and Capability Assessment in the Frame of ONERA 3D Icing Suite," 4th AIAA Atmospheric and Space Environments Conference, New Orleans, Louisiana, AIAA Paper, 2012-3132.
  6. 2009, Back, S.W., Yee, K.J. and Oh, S.J., "Prediction of Rime Ice Accretion Shape on 2D Airfoil," (in Korean) Journal of Computational Fluids Engineering, Vol.14, No.1, pp.45-52.
  7. 2012, Son, C., Oh, S. and Yee, K., "Quantitative Analysis of a Two-Dimensional Ice Accretion on Airfoils," Journal of Mechanical Science and Technology, Vol.26, No.4, pp.1059-1071. https://doi.org/10.1007/s12206-012-0223-z
  8. 2013, Jung, S.K. and Myong, R.S., "A Second-order Positivity-preserving Finite Volume Upwind Scheme for Air-mixed Droplet Flow in Atmospheric Icing," Computer & Fluids, Vol.86, pp.459-469. https://doi.org/10.1016/j.compfluid.2013.08.001
  9. 2013, Jung, K.Y., Jung, S.K. and Myong, R.S., "A Three Dimentional Unstructured Finite Volume Method for Analysis of Droplet Impingement in Icing," (in Korean) Journal of Computational Fluids Engineering, Vol.18, No.2, pp.41-48. https://doi.org/10.6112/kscfe.2013.18.2.041
  10. 2013, Aha, G., Jung, K., Shin, G. and Myong, R., "Investigation of the Performance of Anti-Icing System of a Rotorcraft Engine Air Intake," (in Korean) Journal of the Korean Society for Aeronautical & Space Sciences, Vol.41, No.4, pp.253-260. https://doi.org/10.5139/JKSAS.2013.41.4.253
  11. 2003, FLUENT 6.1 User's Guide, FLUENT Inc.
  12. 2014, OpenFOAM : The Open Source CFD Toolbox, User Guide, Version 2.3.1, OepnFOAM.
  13. 1990, Ruff, G.A. and Berkowitz, B.M., Users manual for the NASA Lewis ice accretion prediction code (LEWICE), NASA CR 185129, pp.55-58.
  14. 2001, Spalart, P.R. and Aupoix, B., "Extensions of the Spalart Allmaras turbulence model to account for wall roughness," International Journal of Heat and Fluid Flow, Vol.24, No.4, pp.454-462. https://doi.org/10.1016/S0142-727X(03)00043-2
  15. 2008, Cao, Y., Zhang, Q. and Sheridan, J., "Numerical Simulation of Rime Ice Accretions on an Aerofoil Using an Eulerian Method," The Aeronautical Journal, Vol.112, No.1131, pp.243-249. https://doi.org/10.1017/S0001924000002189
  16. 1999, Bourgault, Y., Habashi, W.G., Dompierre, J. and Baruzzi, G.S., "A Finite Element Method Study of Eulerian Droplets Impingement Models," International Journal For Numerical Methods In Fluids, Vol.29, No.4, pp.429-449. https://doi.org/10.1002/(SICI)1097-0363(19990228)29:4<429::AID-FLD795>3.0.CO;2-F
  17. 2010, Broeren, A.P., Bragg, M.B., Addy, H.E., Lee, S., Moens, F. and Guffond, D., "Effect of High-Fidelity Ice-Accretion Simulations on Full-Scale Airfoil Performance," Journal of Aircraft, Vol.47, No.1, pp.240-254. https://doi.org/10.2514/1.45203
  18. 2013, Son, C., Yee, K. and Oh, S., "Numerical Correlation Between Meteorological Parameters and Aerodynamic Performance Degradation of Iced Airfoils," SAE Technical Paper 2013-01-2137.
  19. 1983, Mills, A.F. and Hang, X., "On the Skin Friction Coefficient for a Fully Rough Flat Plate," Journal of Fluids Engineering, Vol.105, No.3, pp.364-365. https://doi.org/10.1115/1.3241008
  20. 2003, Beaugendre, H., Morency, F., Habashi, W.G. and Benquet, P., "Roughness Implementation in FENSAP-ICE: Model Calibration and Influence on Ice Shapes," Journal of aircraft, Vol.40, No.6, pp.1212-1215. https://doi.org/10.2514/2.7214
  21. 2002, Breer, M.D., Yeong, H.W., Bidwell, C.S., Bencic, T.J., Hung, K.E., Papadakis, M. and Vu, G.T., Experimental Investigation of Water Droplet Impingement on Airfoils, Finite Wings, and an S-duct Engine Inlet, NASA/TM- 2002-211700.
  22. 1999, Wright, W.B. and Rutkowski, A., Validation Results for LEWICE 2.0, NASA/CR-1999-208690.
  23. 2006, Beaugendre, H., Morency, F. and Habashi, W.G., "Development of a Second Generation In-Flight Icing Simulation Code," Journal of Fluids Engineering, Vol.128, No.2, pp.378-387. https://doi.org/10.1115/1.2169807
  24. Nakakita, K., Nadarajah, S. and Habashi, W., "Toward Real-Time Aero-Icing Simulation of Complete Aircraft via FENSAP-ICE," Journal of Aircraft, Vol.47, No.1, pp.96-109. https://doi.org/10.2514/1.44077

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