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Heat Transfer Research

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ISSN Print: 1064-2285

ISSN Online: 2162-6561

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.7 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.4 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.6 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00072 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.43 SJR: 0.318 SNIP: 0.568 CiteScore™:: 3.5 H-Index: 28

Indexed in

EVALUATION OF AERODYNAMIC PERFORMANCE OF AIRFOIL USING THE E-MPS METHOD AFTER ICING

Volume 51, Issue 12, 2020, pp. 1135-1149
DOI: 10.1615/HeatTransRes.2020033124
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ABSTRACT

Accumulation of ice on aircraft can lead to severe problems in terms of safety; therefore, development of a method by which these issues can be simulated is required. In this study, the effects of several icing conditions such as inflow velocity, liquid water content, and the angle of attack on the ice accretion on an airfoil are numerically investigated using a particle-based method. The computational target is a NACA0012 airfoil with a chord length of 0.53 m, and droplets with a diameter of 1.0 mm are used in all cases. The icing simulations are carried out with different inflow velocities, liquid water contents, and angle of attack ranging from 50-140 m/s, 0.2-1.6 g/m3, and -8-20 degrees, respectively, with standard values of 50 m/s, 1.2 g/m3, and 4 degrees. The explicit moving particle simulation method, which is based on the Lagrangian approach, is employed to obtain complex ice shapes such as feathers. Moreover, aerodynamic performance before and after icing is also compared at different attack angles, using the ice shapes obtained with the moving particle method. It was confirmed that the feather shape, which is difficult to produce with the present lattice method, was reproduced using the particle-based method. The results indicated that icing decreases the stalling angle, and this decrease deteriorates aerodynamic performance by a maximum of 56.2%.

REFERENCES
  1. Addy, H.E., Ice Accretions and Icing Effects for Modern Airfoils, NASA/TP-2000-210031,2000.

  2. Fujii, K. and Obayashi, S., Practical Applications of New LU-ADI Scheme for the Three-Dimensional Navier-Stokes Computation of Transonic Viscous Flows, AIAA Paper, vol. 86, pp. 369-370,1986.

  3. Hagiwara, Y., Ishikawa, S., Kimura, R., and Toyohara, K., Ice Growth and Interface Oscillation of Water Droplets Impinged on a Cooling Surface, J. Crystal Growth, vol. 468, pp. 46-53, 2017.

  4. Harada, T., Koshizuka, S., and Shimazaki, K., Improvement of Wall Boundary Calculation Model for MPS Method, Trans. Jpn. Soc. Comput. Eng. Sci, vol. 2008, p. 20080006, 2008 (in Japanese).

  5. Hayashi, R. and Yamamoto, M., Modeling of Ice Shedding Phenomenon for Engine Fan Icing, Trans. JSME, vol. 80, no. 815, pp. 1-12, 2014 (in Japanese).

  6. Hayashi, R. and Yamamoto, M., Numerical Simulation on Ice Shedding Phenomena in Turbomachinery, J. Energy Power Eng., vol. 9, no. 1,pp. 45-53,2015.

  7. Kato, M. and Launder, B., The Modeling of Turbulent Flow around Stationary and Vibrating Square Cylinders, in Proc. of 9th Symp. on Turbulent Shear Flows, vol. 1, Kyoto, Japan, 1993.

  8. Kondo, S., Mamori, H., Fukushima, N., Fukudome, K., and Yamamoto, M., Numerical Simulation of Solidification Phenomena of Single Molten Droplet on Flat Plate Using E-MPS Method, J. Fluid Sci. Technol., vol. 13, no. 3, p. JFST0013, 2018.

  9. Koshizuka, S., A Particle Method for Incompressible Viscous Flow with Fluid Fragmentation, Comput. Fluid Dyn. J, vol. 4, pp. 29-46,1995 (in Japanese).

  10. Lee, S. and Loth, E., Simulation of Icing on a Cascade of Stator Blades, J. Propuls. Power, vol. 24, no. 6, pp. 1309-1316,2008.

  11. Messinger, B.L., Equilibrium Temperature of an Unheated Icing Surface as a Function of Air Speed, J. Aeronaut. Sci., vol. 20, pp. 29-42,1953.

  12. Myers, T.G., Extension to the Messinger Model for Aircraft Icing, AIAA J, vol. 39, no. 2, pp. 211-218, 2001.

  13. Ona, K., Toda, K., and Yamamoto, M., Numerical Simulation of Ice Accretion in Jet Engine Inlet, in Proc. of 8th Int. Symp. on Transport Phenomena and Dynamics of Rotating Machinery, Vol. 1, pp. 57-63, 2000.

  14. Oochi, M., Koshizuka, S., and Sakai, M., Explicit MPS Algorithm for Free Surface Flow Analysis, Trans. Jpn. Soc. Comput. Eng. Sci, vol. 2010, p. 20100013, 2010 (in Japanese).

  15. Ozgen, S. and Canibek, M., Ice Accretion Simulation on Multi-Element Airfoils Using Extended Messinger Model, Heat Mass Transf., vol. 45, no. 3, pp. 305-322, 2009.

  16. Paraschivoiu, I., Tran, P., and Brahimi, M., Prediction of Ice Accretion with Viscous Effects on Aircraft Wings, J. Aircraft, vol. 31, no. 4, pp. 855-861, 1994.

  17. Sheldahl, R.E. and Klimas, P.C., Aerodynamic Characteristics of Seven Symmetrical Airfoil Sections through 180-Degree Angle of Attack for Use in Aerodynamic Analysis of Vertical Axis Wind Turbines, Sandia National Labs., Albuquerque, NM, SAND-80-2114,1981.

  18. Sun, M., Kong, W., Wang, F., and Liu, H., Effect of Nucleation and Icing Evolution on Run-Back Freezing of Supercooled Water Droplet, Aerospace Syst., vol. 2, no. 2, pp. 147-153, 2019a.

  19. Sun, M., Kong, W., Wang, F., and Liu, H., Impact Freezing Modes of Supercooled Droplets Determined by Both Nucleation and Icing Evolution, Int. J. Heat Mass Transf., vol. 142, p. 118431,2019b.

  20. Toba, D., Mamori, H., Fukushima, N., and Yamamoto, M., Icing Study of Super Cooled Water Droplet Impinging on Airfoil Using E-MPS Method, New York: ASTFE Digital Library, Begell House Inc., 2018.

  21. Tran, P., Brahimi, M., Paraschivoiu, I., Pueyo, A., and Tezok, F., Ice Accretion on Aircraft Wings with Thermodynamic Effects, J. Aircraft, vol. 32, no. 2, pp. 444-446,1995.

  22. Wright, W.B., Gent, R., and Guffond, D., DRA/NASA/ONERA Collaboration on Icing Research. Part 2; Prediction of Airfoil Ice Accretion, NASA-CR-202349, p. 54, 1997.

  23. Yee, H.C., Upwind and Symmetric Shock-Capturing Schemes, NASA-TM-89464, p. 130, 1987.

  24. Yuki, K. and Yamamoto, M., SLD Icing Simulation on NACA Airfoil Using MPS Method, in Proc. of Joint 11th World Congress on Computational Mechanics, WCCM 2014, the 5th European Conference on Computational Mechanics, International Center for Numerical Methods in Engineering, pp. 5820-5826, 2014.

CITED BY
  1. Fukudome Koji, Muto Yusuke, Yamamoto Ken, Mamori Hiroya, Yamamoto Makoto, Numerical simulation of the solidification phenomena of single molten droplets impinging on non-isothermal flat plate using explicit moving particle simulation method, International Journal of Heat and Mass Transfer, 180, 2021. Crossref

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