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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Main Authors: Aftab, Syed Mohammed Aminuddin, Mohd Rafie, Azmin Shakrine, Abdul Razak, Norizham, Ahmad, Kamarul Arifin
Format: Article
Language:English
Published: Public Library of Science 2016
Online Access:http://psasir.upm.edu.my/id/eprint/53177/1/Turbulence%20model%20selection%20for%20low%20Reynolds%20number%20flows.pdf
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author Aftab, Syed Mohammed Aminuddin
Mohd Rafie, Azmin Shakrine
Abdul Razak, Norizham
Ahmad, Kamarul Arifin
author_facet Aftab, Syed Mohammed Aminuddin
Mohd Rafie, Azmin Shakrine
Abdul Razak, Norizham
Ahmad, Kamarul Arifin
author_sort Aftab, Syed Mohammed Aminuddin
collection UPM
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-Reθ 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 upm.eprints-531772019-10-24T00:42:07Z http://psasir.upm.edu.my/id/eprint/53177/ Turbulence model selection for low Reynolds number flows Aftab, Syed Mohammed Aminuddin Mohd Rafie, Azmin Shakrine Abdul Razak, Norizham Ahmad, Kamarul Arifin 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-Reθ 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 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/53177/1/Turbulence%20model%20selection%20for%20low%20Reynolds%20number%20flows.pdf Aftab, Syed Mohammed Aminuddin and Mohd Rafie, Azmin Shakrine and Abdul Razak, Norizham and Ahmad, Kamarul Arifin (2016) Turbulence model selection for low Reynolds number flows. PLOS ONE, 11 (4). art. no. e0153755. pp. 1-15. ISSN 1932-6203 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0153755 10.1371/journal.pone.0153755
spellingShingle Aftab, Syed Mohammed Aminuddin
Mohd Rafie, Azmin Shakrine
Abdul Razak, Norizham
Ahmad, Kamarul Arifin
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
url http://psasir.upm.edu.my/id/eprint/53177/1/Turbulence%20model%20selection%20for%20low%20Reynolds%20number%20flows.pdf
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