American Journal of Mechanical Engineering
ISSN (Print): 2328-4102 ISSN (Online): 2328-4110 Website: http://www.sciepub.com/journal/ajme Editor-in-chief: Kambiz Ebrahimi, Dr. SRINIVASA VENKATESHAPPA CHIKKOL
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American Journal of Mechanical Engineering. 2019, 7(4), 172-180
DOI: 10.12691/ajme-7-4-3
Open AccessArticle

Analysis of Different Turbulence Models in Simulation of Hypersonic Flow in the Wind Tunnel

Mohammad Javad Ameri1, Mohammad Reza Heidari2, Hashem Nowruzi3, and Amin Najafi4

1Faculty of Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran

2Faculty of engineering, Islamic Azad University, Parand Branch, Tehran, Iran

3Maritime Engineering Department, Amirkabir University of Technology, Tehran, Iran

4Mechanical Engineering Department, IHU, Tehran, Iran

Pub. Date: October 28, 2019

Cite this paper:
Mohammad Javad Ameri, Mohammad Reza Heidari, Hashem Nowruzi and Amin Najafi. Analysis of Different Turbulence Models in Simulation of Hypersonic Flow in the Wind Tunnel. American Journal of Mechanical Engineering. 2019; 7(4):172-180. doi: 10.12691/ajme-7-4-3

Abstract

In the current paper, we investigated the hypersonic flow in the wind tunnel at the Mach number 8. For this purpose, the effects and performance of three different turbulence models SST/k-ω, RNG/k-ε and Realizable/k-ε on flow simulation are evaluated. Mesh sensitivity analysis is conducted and our results are validated against the existing experimental data with good accordance. To better phenomenological study on the hypersonic flow behavior, distributions of static pressure, total pressure, Mach number and streamlines at nozzle, diffuser and test chamber are investigated. We found that the SST/k- ω turbulence model is more efficient and accurate compared to two other turbulence models in simulation of hypersonic flow in the wind tunnel at high Mach numbers.

Keywords:
CFD turbulence models hypersonic flow wind tunnel

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References:

[1]  Casper, K., Beresh, S., Henfling, J., Spillers, R., Pruett, B. and Schneider, S., “Hypersonic wind-tunnel measurements of boundary-layer pressure fluctuations”, In 39th AIAA fluid dynamics conference, 2009.
 
[2]  Sohail, M. A., “Effect of Turbulence Modeling on Aerodynamics characteristics of a conventional tailed finned missile configurations”, CFP1070K-PRT, ISBN, 11-4244.
 
[3]  Sanieinejad, M., “Fundamentals of turbulent flows and turbulence modeling”, Daneshnegar, Tehran.
 
[4]  Spalart, P. R., “Comments on the feasibility of LES for wings, and on a hybrid RANS/LES approach”, In Proceedings of first AFOSR international conference on DNS/LES, Greyden Press, 1997.
 
[5]  Menter, F. R., “Two-equation eddy-viscosity turbulence models for engineering applications”, AIAA journal, 32(8), 1598-1605, 1994.
 
[6]  Menter, F. R., “Influence of freestream values on k-omega turbulence model predictions”, AIAA journal, 30(6), 1657-1659, 1992.
 
[7]  Murakami, S., Mochida, A. and Hayashi, Y., “examining the κ-ϵ model by means of a wind tunnel test and large-eddy simulation of the turbulence structure around a cube”, Journal of Wind Engineering and Industrial Aerodynamics, 35, 87-100, 1990.
 
[8]  Richards, P. J. and Hoxey, R. P., “Appropriate boundary conditions for computational wind engineering models using the k-ϵ turbulence model”, Journal of wind engineering and industrial aerodynamics, 46, 145-153, 1993.
 
[9]  Meroney, R. N., Leitl, B. M., Rafailidis, S. and Schatzmann, M., “Wind-tunnel and numerical modeling of flow and dispersion about several building shapes”, Journal of Wind Engineering and Industrial Aerodynamics, 81(1-3), 333-345, 1999.
 
[10]  Chamorro, L. P. and Porté-Agel, F., “A wind-tunnel investigation of wind-turbine wakes: boundary-layer turbulence effects”, Boundary-layer meteorology, 132(1), 129-149, 2009.
 
[11]  Howell, R., Qin, N., Edwards, J. and Durrani, N., “Wind tunnel and numerical study of a small vertical axis wind turbine”, Renewable energy, 35(2), 412-422, 2010.
 
[12]  Tominaga, Y., Akabayashi, S. I., Kitahara, T. and Arinami, Y., “Air flow around isolated gable-roof buildings with different roof pitches: Wind tunnel experiments and CFD simulations”, Building and Environment, 84, 204-213, 2015.
 
[13]  Mattuella, J. M. L., Loredo-Souza, A. M., Oliveira, M. G. K. and Petry, A. P., “Wind tunnel experimental analysis of a complex terrain micrositing”, Renewable and Sustainable Energy Reviews, 54, 110-119, 2016.
 
[14]  Talavera, M. and Shu, F., “Experimental study of turbulence intensity influence on wind turbine performance and wake recovery in a low-speed wind tunnel”, Renewable Energy, 109, 363-371, 2017.
 
[15]  Chaudhari, A., Vuorinen, V., Hämäläinen, J. and Hellsten, A., “Large-eddy simulations for hill terrains: validation with wind-tunnel and field measurements”, Computational and Applied Mathematics, 37(2), 2017-2038, 2018.
 
[16]  Uchida, T., “Large-Eddy Simulation and Wind Tunnel Experiment of Airflow over Bolund Hill”, Open Journal of Fluid Dynamics, 8(01), 30, 2018.
 
[17]  Yousefifard, M., Ghadimi, P. and Nowruzi, H., “Three-dimensional LES modeling of induced gas motion under the influence of injection pressure and ambient density in an ultrahigh-pressure diesel injector”, Journal of the Brazilian Society of Mechanical Sciences and Engineering, 37(4), 1235-1243, 2015.
 
[18]  Yousefifard, M., Ghadimi, P. and Nowruzi, H., “Numerical investigation of the effects of chamber backpressure on HFO spray characteristics”, International Journal of Automotive Technology, 16(2), 339-349, 2015.
 
[19]  Nowruzi, H., Ghadimi, P. and Yousefifard, M., “Large eddy simulation of ultra-high injection pressure diesel spray in marine diesel engines”, Transactions of FAMENA, 38(4), 65-76, 2015.
 
[20]  Yakhot, V. and Orszag, S. A., “Renormalization group analysis of turbulence. I. Basic theory”, Journal of scientific computing, 1(1), 3-51, 1986.
 
[21]  Shih, T. H., Liou, W. W., Shabbir, A., Yang, Z. and Zhu, J., “A new k-ϵ eddy viscosity model for high reynolds number turbulent flows”, Computers & Fluids, 24(3), 227-238, 1995.
 
[22]  Sarkar, S. and Balakrishnan, L., “Application of a Reynolds stress turbulence model to the compressible shear layer”, 1990.
 
[23]  Wilcox, D. C., “Turbulence modeling for CFD”, 2, 172-180. La Canada, CA: DCW industries, 1998.
 
[24]  Fluent, I. N. C., “FLUENT 6.3 user’s guide”, Fluent documentation, 2006.
 
[25]  Gray, J. D., “Summary report on aerodynamic characteristics of standard models HB-1 and HB-2”, Arnold Engineering Development Center Arnold AFB TN, 1964.
 
[26]  Saravanan, S., Jagadeesh, G. and Reddy, K. P. J., “Aerodynamic force measurement using 3-component accelerometer force balance system in a hypersonic shock tunnel”, Shock Waves, 18(6), 425-435, 2009.
 
[27]  Sohail, M. A., Chao, Y. and Husain, M., “Comparison of detached eddy simulations with turbulence modeling”, Int. J. Mech. Mater. Eng, 2(1), 869-875, 2011.
 
[28]  Heidari, M. R., TAYEBI, R. M. and Azimi, A., “Numerical Simulation of Supersonic Turbulent Flow over Bodies of Revolution Including the Base, Using Multiblock Grid”, 2005.
 
[29]  Shora, M. M., Ghassemi, H. and Nowruzi, H., “Using computational fluid dynamic and artificial neural networks to predict the performance and cavitation volume of a propeller under different geometrical and physical characteristics”, Journal of Marine Engineering & Technology, 17(2), 59-84, 2018.
 
[30]  Najafi, A., Nowruzi, H. and Ghassemi, H., “Performance prediction of hydrofoil-supported catamarans using experiment and ANNs”, Applied Ocean Research, 75, 66-84, 2018.
 
[31]  Nowruzi, H., Ghassemi, H., Amini, E. and Sohrabi-asl, I., “Prediction of impinging spray penetration and cone angle under different injection and ambient conditions by means of CFD and ANNs”, Journal of the Brazilian Society of Mechanical Sciences and Engineering, 39(10), 3863-3880, 2017.
 
[32]  Nowruzi, H. and Ghassemi, H., “Using artificial neural network to predict velocity of sound in liquid water as a function of ambient temperature, electrical and magnetic fields”, Journal of Ocean Engineering and Science, 1(3), 203-211, 2016.
 
[33]  Nowruzi, H., Ghassemi, H. and Ghiasi, M., “Performance predicting of 2D and 3D submerged hydrofoils using CFD and ANNs”, Journal of Marine Science and Technology, 22(4), 710-733, 2017.