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Turbulence Model Selection for Low Reynolds Number Flows

One of the major flow phenomena associated with low Reynolds number flow is the formation of separation bubbles on an airfoil’s surface. NACA4415 airfoil is commonly used in wind turbines and UAV applications. The stall characteristics are gradual compared to thin airfoils. The primary criterion set...

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Autores principales: Aftab, S. M. A., Mohd Rafie, A. S., Razak, N. A., Ahmad, K. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4841523/
https://www.ncbi.nlm.nih.gov/pubmed/27104354
http://dx.doi.org/10.1371/journal.pone.0153755
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author Aftab, S. M. A.
Mohd Rafie, A. S.
Razak, N. A.
Ahmad, K. A.
author_facet Aftab, S. M. A.
Mohd Rafie, A. S.
Razak, N. A.
Ahmad, K. A.
author_sort Aftab, S. M. A.
collection PubMed
description One of the major flow phenomena associated with low Reynolds number flow is the formation of separation bubbles on an airfoil’s surface. NACA4415 airfoil is commonly used in wind turbines and UAV applications. The stall characteristics are gradual compared to thin airfoils. The primary criterion set for this work is the capture of laminar separation bubble. Flow is simulated for a Reynolds number of 120,000. The numerical analysis carried out shows the advantages and disadvantages of a few turbulence models. The turbulence models tested were: one equation Spallart Allmars (S-A), two equation SST K-ω, three equation Intermittency (γ) SST, k-kl-ω and finally, the four equation transition γ-Re(θ) SST. However, the variation in flow physics differs between these turbulence models. Procedure to establish the accuracy of the simulation, in accord with previous experimental results, has been discussed in detail.
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spelling pubmed-48415232016-04-29 Turbulence Model Selection for Low Reynolds Number Flows Aftab, S. M. A. Mohd Rafie, A. S. Razak, N. A. Ahmad, K. A. PLoS One Research Article One of the major flow phenomena associated with low Reynolds number flow is the formation of separation bubbles on an airfoil’s surface. NACA4415 airfoil is commonly used in wind turbines and UAV applications. The stall characteristics are gradual compared to thin airfoils. The primary criterion set for this work is the capture of laminar separation bubble. Flow is simulated for a Reynolds number of 120,000. The numerical analysis carried out shows the advantages and disadvantages of a few turbulence models. The turbulence models tested were: one equation Spallart Allmars (S-A), two equation SST K-ω, three equation Intermittency (γ) SST, k-kl-ω and finally, the four equation transition γ-Re(θ) SST. However, the variation in flow physics differs between these turbulence models. Procedure to establish the accuracy of the simulation, in accord with previous experimental results, has been discussed in detail. Public Library of Science 2016-04-22 /pmc/articles/PMC4841523/ /pubmed/27104354 http://dx.doi.org/10.1371/journal.pone.0153755 Text en © 2016 Aftab et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Aftab, S. M. A.
Mohd Rafie, A. S.
Razak, N. A.
Ahmad, K. A.
Turbulence Model Selection for Low Reynolds Number Flows
title Turbulence Model Selection for Low Reynolds Number Flows
title_full Turbulence Model Selection for Low Reynolds Number Flows
title_fullStr Turbulence Model Selection for Low Reynolds Number Flows
title_full_unstemmed Turbulence Model Selection for Low Reynolds Number Flows
title_short Turbulence Model Selection for Low Reynolds Number Flows
title_sort turbulence model selection for low reynolds number flows
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4841523/
https://www.ncbi.nlm.nih.gov/pubmed/27104354
http://dx.doi.org/10.1371/journal.pone.0153755
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