Assessment of several modeling strategies on the prediction of lift-drag coefficients of a NACA0012 airfoil at a moderate Reynold number

This paper investigates modelling strategies on the prediction of lift and drag coefficients of a NACA0012 airfoil at Reynolds number of 360,000. Two computational methods are employed; namely Navier-Stokes equation and panel method, by using different tools for computing lift and drag coefficients....

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Autor principal: K.M. Almohammadi
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Lenguaje:EN
Publicado: Elsevier 2022
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spelling oai:doaj.org-article:088a1f4595ed4f98a117d6646807e04e2021-12-02T04:59:39ZAssessment of several modeling strategies on the prediction of lift-drag coefficients of a NACA0012 airfoil at a moderate Reynold number1110-016810.1016/j.aej.2021.07.008https://doaj.org/article/088a1f4595ed4f98a117d6646807e04e2022-03-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1110016821004750https://doaj.org/toc/1110-0168This paper investigates modelling strategies on the prediction of lift and drag coefficients of a NACA0012 airfoil at Reynolds number of 360,000. Two computational methods are employed; namely Navier-Stokes equation and panel method, by using different tools for computing lift and drag coefficients. The obtained results are compared against experiment in order to assess the accuracy of each technique. Two turbulence models are employed; Reynolds stress model, which is not based on Boussinesq assumption and accounts for flow anisotropy and realizable model which is based on the Boussinesq assumption for computing Reynold stresses. Grid independent solution is produced using the 2-D URANs by employing the fitting method and the obtained lift and drag coefficients are compared against experiment. The fitting method is found to be efficient in saving computational time and power. It is also found that Boussinesq approximation is efficient in predicting lift coefficient. However, the 3rd order panel method produced a remarkably accurate drag coefficient compared to other investigated computational models. Combining the findings of this paper with the existing computational methods in the literature would significantly in improve the accuracy of predicting lift and drag coefficients and may significantly enhance the accuracy of simulation of several aerodynamics applications.K.M. AlmohammadiElsevierarticleBoussinesq assumptionReynolds Stress Model (RSM)Fitting methodComputational fluid dynamics modellingPotential flowTurbulenceEngineering (General). Civil engineering (General)TA1-2040ENAlexandria Engineering Journal, Vol 61, Iss 3, Pp 2242-2249 (2022)
institution DOAJ
collection DOAJ
language EN
topic Boussinesq assumption
Reynolds Stress Model (RSM)
Fitting method
Computational fluid dynamics modelling
Potential flow
Turbulence
Engineering (General). Civil engineering (General)
TA1-2040
spellingShingle Boussinesq assumption
Reynolds Stress Model (RSM)
Fitting method
Computational fluid dynamics modelling
Potential flow
Turbulence
Engineering (General). Civil engineering (General)
TA1-2040
K.M. Almohammadi
Assessment of several modeling strategies on the prediction of lift-drag coefficients of a NACA0012 airfoil at a moderate Reynold number
description This paper investigates modelling strategies on the prediction of lift and drag coefficients of a NACA0012 airfoil at Reynolds number of 360,000. Two computational methods are employed; namely Navier-Stokes equation and panel method, by using different tools for computing lift and drag coefficients. The obtained results are compared against experiment in order to assess the accuracy of each technique. Two turbulence models are employed; Reynolds stress model, which is not based on Boussinesq assumption and accounts for flow anisotropy and realizable model which is based on the Boussinesq assumption for computing Reynold stresses. Grid independent solution is produced using the 2-D URANs by employing the fitting method and the obtained lift and drag coefficients are compared against experiment. The fitting method is found to be efficient in saving computational time and power. It is also found that Boussinesq approximation is efficient in predicting lift coefficient. However, the 3rd order panel method produced a remarkably accurate drag coefficient compared to other investigated computational models. Combining the findings of this paper with the existing computational methods in the literature would significantly in improve the accuracy of predicting lift and drag coefficients and may significantly enhance the accuracy of simulation of several aerodynamics applications.
format article
author K.M. Almohammadi
author_facet K.M. Almohammadi
author_sort K.M. Almohammadi
title Assessment of several modeling strategies on the prediction of lift-drag coefficients of a NACA0012 airfoil at a moderate Reynold number
title_short Assessment of several modeling strategies on the prediction of lift-drag coefficients of a NACA0012 airfoil at a moderate Reynold number
title_full Assessment of several modeling strategies on the prediction of lift-drag coefficients of a NACA0012 airfoil at a moderate Reynold number
title_fullStr Assessment of several modeling strategies on the prediction of lift-drag coefficients of a NACA0012 airfoil at a moderate Reynold number
title_full_unstemmed Assessment of several modeling strategies on the prediction of lift-drag coefficients of a NACA0012 airfoil at a moderate Reynold number
title_sort assessment of several modeling strategies on the prediction of lift-drag coefficients of a naca0012 airfoil at a moderate reynold number
publisher Elsevier
publishDate 2022
url https://doaj.org/article/088a1f4595ed4f98a117d6646807e04e
work_keys_str_mv AT kmalmohammadi assessmentofseveralmodelingstrategiesonthepredictionofliftdragcoefficientsofanaca0012airfoilatamoderatereynoldnumber
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