Application of Turbulence Modeling in Computational Fluid Dynamics for Airfoil Simulations
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Application of Turbulence Modeling in Computational Fluid Dynamics for Airfoil Simulations

Authors: Mohammed Bilal

Abstract:

The precise prediction of aerodynamic behavior is necessary for the design and optimization of airfoils for a variety of applications. Turbulence, a phenomenon of complex and irregular flow, significantly affects the aerodynamic properties of airfoils. Therefore, turbulence modeling is essential for accurately predicting the behavior of airfoils in simulations. This study investigates five commonly employed turbulence models: Spalart-Allmaras (SA) model, k-epsilon model, k-omega model, Reynolds Stress Model (RSM), and Large Eddy Simulation (LES) model. The paper includes a comparison of the models' precision, computational expense, and applicability to various flow conditions. The strengths and weaknesses of each model are highlighted, allowing researchers and engineers to make informed decisions regarding simulations of specific airfoils. Unquestionably, the continuous development of turbulence modeling will contribute to further improvements in airfoil design and optimization, which will be advantageous to numerous industries.

Keywords: Computational fluid dynamics, airfoil, turbulence, aircraft.

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References:


[1] A.C.K. Lai, W.W. Nazaroff, Modeling indoor particle deposition from turbulent flow onto smooth surfaces, J. Aerosol Sci. 31 (4) (2000) 463–476.
[2] B. Zhao, J. Wu, Modeling particle deposition from fully developed turbulent flow in ventilation duct, Atmos. Environ. 40 (3) (2006) 457–466.
[3] C. Chen, C.-H. Lin, D. Wei, Q. Chen, Modeling particle deposition on the surfaces around a multi-slot diffuser, Build. Environ. 107 (2016) 79–89.
[4] Q. Cao, C. Chen, S. Liu, C.-H. Lin, D. Wei, Q. Chen, Prediction of particle deposition around the cabin air supply nozzles of commercial airplanes using measured in-cabin particle emission rates, Indoor Air 28 (6) (2018) 852–865.
[5] Y. Pan, C.-H. Lin, D. Wei, C. Chen, Experimental measurements and large eddy simulation of particle deposition distribution around a multi-slot diffuser, Build. Environ. 150 (2019) 156–163.
[6] A.C.K. Lai, Particle deposition indoors: a review, Indoor Air 12 (4) (2002) 211–214.
[7] C. Chen, B. Zhao, C.J. Weschler, Indoor exposure to outdoor PM10: assessing its influence on the relationship between PM10 and short-term mortality in U.S. cities, Epidemiology 23 (6) (2012) 870–878.
[8] S. Shi, C. Chen, B. Zhao, Modifications of exposure to ambient particulate matter: tackling bias in using ambient concentration as surrogate with particle infiltration factor and ambient exposure factor, Environ. Pollut. 220 (2017) 337–347.
[9] X. Chen, A. Li, An experimental study on particle deposition above near-wall heat source, Build. Environ. 81 (2014) 139–149.
[10] X. Chen, A. Li, R. Gao, Numerical investigation on particle deposition in a chamber with an attached-wall heat source, Indoor Built Environ. 23 (5) (2013) 640–652.
[11] Y. Pan, C.-H. Lin, D. Wei, C. Chen, Experimental measurements and large eddy simulation of particle deposition distribution around a multi-slot diffuser, Build. Environ. 150 (2019) 156–163.
[12] E. Achenbach, Influence of surface roughness on the cross-flow around a circular cylinder, J. Fluid Mech. 46 (2) (1971) 321–335.
[13] Y. Wang, X. Fan, A. Li, L. Shang, H. Wang, Deposition of fine particles on vertical textile surfaces: a small-scale chamber study, Build. Environ. 135 (2018) 308–317.
[14] K.D. Squires, O. Simonin, LES–DPS of the effect of wall roughness on dispersed-phase transport in particle-laden turbulent channel flow, Int. J. Heat Fluid Flow 27 (4) (2006) 619–626.
[15] B. Zhao, J. Wu, Particle deposition in indoor environments: analysis of influencing factors, J. Hazard Mater. 147 (1) (2007) 439–448.
[16] Parsi, M., Vieira, R., Sajeev, S. K., McLaury, B. S., and S. A. Shirazi. "Experimental Study of Erosion in Vertical Slug/Churn Flow." Paper presented at the CORROSION 2015, Dallas, Texas, March 2015.
[17] Vieira, R. E., Sajeev, S., Shirazi, S. A., McLaury, B. S., & Kouba, G. (2015, June). Experiments and modelling of sand erosion in gas-liquid cylindrical cyclone separators under gas production and low-liquid loading conditions. In 17th International Conference on Multiphase Production Technology. OnePetro.
[18] Sajeev, S. K. (2016). Sand Erosion of Gas-Liquid Cylindrical Cyclone Separators Under Gas Production and Low-Liquid Loading Conditions (Doctoral dissertation, University of Tulsa).
[19] Arabnejad, H., Sajeev, S., Guimmarra, A., Vieira, R., & Shirazi, S. A. (2016, September). Experimental Study and Modeling of Sand Erosion in the Gas-Liquid Cylindrical Cyclone GLCC Separators. In SPE Annual Technical Conference and Exhibition. OnePetro.
[20] Sajeev, S., McLaury, B., & Shirazi, S. (2017). Critical Velocities for Particle Transport from Experiments and CFD Simulations. International Journal of Environmental and Ecological Engineering, 11(6), 548-552.
[21] Sajeev, S., McLaury, B. S., & Shirazi, S. A. (2018, June). Threshold particle concentration in single-phase and multiphase flow sand transport in pipelines. In 11th North American Conference on Multiphase Production Technology. OnePetro.
[22] Sajeev, S. K. (2019). Particle Transport in Horizontal Pipes for Single-Phase and Multiphase Flows at Very Low Concentrations Including the Threshold Concentration. The University of Tulsa.
[23] Sajeev, S. K., McLaury, B. S., & Shirazi, S. A. (2019, June). Experiments and Modelling of Critical Transport Velocity of Threshold (Very Low) Particle Concentration in Single-Phase and Multiphase Flows. In BHR 19th International Conference on Multiphase Production Technology. OnePetro.
[24] Sajeev, S. (2023). 'An Overview of Project Management Application in Computational Fluid Dynamics'. World Academy of Science, Engineering and Technology, Open Science Index 195, International Journal of Industrial and Manufacturing Engineering, 17(3), 202 – 208.