Numerical Simulation of a Pitching Airfoil Under Dynamic Stall of Low Reynolds Number Flow

Detalhes bibliográficos
Autor(a) principal: Honarmand,Mojtaba
Data de Publicação: 2019
Outros Autores: Djavareshkian,Mohammad Hassan, Feshalami,Behzad Forouzi, Esmaeilifar,Esmaeil
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Journal of Aerospace Technology and Management (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462019000100343
Resumo: ABSTRACT: In this research, viscous, unsteady and turbulent fluid flow is simulated numerically around a pitching NACA0012 airfoil in the dynamic stall area. The Navier-Stokes equations are discretized based on the finite volume method and are solved by the PIMPLE algorithm in the open source software, namely OpenFOAM. The SST k - ω model is used as the turbulence model for Low Reynolds Number flows in the order of 105. A homogenous dynamic mesh is used to reduce cell skewness of mesh to prevent non-physical oscillations in aerodynamic forces unlike previous studies. In this paper, the effects of Reynolds number, reduced frequency, oscillation amplitude and airfoil thickness on aerodynamic force coefficients and dynamic stall delay are investigated. These parameters have a significant impact on the maximum lift, drag, the ratio of aerodynamic forces and the location of dynamic stall. The most important parameters that affect the maximum lift to drag coefficient ratio and cause dynamic stall delaying are airfoil thickness and reduced frequency, respectively.
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spelling Numerical Simulation of a Pitching Airfoil Under Dynamic Stall of Low Reynolds Number FlowDynamic stallPitching motionUnsteady aerodynamicCFDNACA0012 airfoilABSTRACT: In this research, viscous, unsteady and turbulent fluid flow is simulated numerically around a pitching NACA0012 airfoil in the dynamic stall area. The Navier-Stokes equations are discretized based on the finite volume method and are solved by the PIMPLE algorithm in the open source software, namely OpenFOAM. The SST k - ω model is used as the turbulence model for Low Reynolds Number flows in the order of 105. A homogenous dynamic mesh is used to reduce cell skewness of mesh to prevent non-physical oscillations in aerodynamic forces unlike previous studies. In this paper, the effects of Reynolds number, reduced frequency, oscillation amplitude and airfoil thickness on aerodynamic force coefficients and dynamic stall delay are investigated. These parameters have a significant impact on the maximum lift, drag, the ratio of aerodynamic forces and the location of dynamic stall. The most important parameters that affect the maximum lift to drag coefficient ratio and cause dynamic stall delaying are airfoil thickness and reduced frequency, respectively.Departamento de Ciência e Tecnologia Aeroespacial2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462019000100343Journal of Aerospace Technology and Management v.11 2019reponame:Journal of Aerospace Technology and Management (Online)instname:Departamento de Ciência e Tecnologia Aeroespacial (DCTA)instacron:DCTA10.5028/jatm.v11.1076info:eu-repo/semantics/openAccessHonarmand,MojtabaDjavareshkian,Mohammad HassanFeshalami,Behzad ForouziEsmaeilifar,Esmaeileng2019-11-12T00:00:00Zoai:scielo:S2175-91462019000100343Revistahttp://www.jatm.com.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||secretary@jatm.com.br2175-91461984-9648opendoar:2019-11-12T00:00Journal of Aerospace Technology and Management (Online) - Departamento de Ciência e Tecnologia Aeroespacial (DCTA)false
dc.title.none.fl_str_mv Numerical Simulation of a Pitching Airfoil Under Dynamic Stall of Low Reynolds Number Flow
title Numerical Simulation of a Pitching Airfoil Under Dynamic Stall of Low Reynolds Number Flow
spellingShingle Numerical Simulation of a Pitching Airfoil Under Dynamic Stall of Low Reynolds Number Flow
Honarmand,Mojtaba
Dynamic stall
Pitching motion
Unsteady aerodynamic
CFD
NACA0012 airfoil
title_short Numerical Simulation of a Pitching Airfoil Under Dynamic Stall of Low Reynolds Number Flow
title_full Numerical Simulation of a Pitching Airfoil Under Dynamic Stall of Low Reynolds Number Flow
title_fullStr Numerical Simulation of a Pitching Airfoil Under Dynamic Stall of Low Reynolds Number Flow
title_full_unstemmed Numerical Simulation of a Pitching Airfoil Under Dynamic Stall of Low Reynolds Number Flow
title_sort Numerical Simulation of a Pitching Airfoil Under Dynamic Stall of Low Reynolds Number Flow
author Honarmand,Mojtaba
author_facet Honarmand,Mojtaba
Djavareshkian,Mohammad Hassan
Feshalami,Behzad Forouzi
Esmaeilifar,Esmaeil
author_role author
author2 Djavareshkian,Mohammad Hassan
Feshalami,Behzad Forouzi
Esmaeilifar,Esmaeil
author2_role author
author
author
dc.contributor.author.fl_str_mv Honarmand,Mojtaba
Djavareshkian,Mohammad Hassan
Feshalami,Behzad Forouzi
Esmaeilifar,Esmaeil
dc.subject.por.fl_str_mv Dynamic stall
Pitching motion
Unsteady aerodynamic
CFD
NACA0012 airfoil
topic Dynamic stall
Pitching motion
Unsteady aerodynamic
CFD
NACA0012 airfoil
description ABSTRACT: In this research, viscous, unsteady and turbulent fluid flow is simulated numerically around a pitching NACA0012 airfoil in the dynamic stall area. The Navier-Stokes equations are discretized based on the finite volume method and are solved by the PIMPLE algorithm in the open source software, namely OpenFOAM. The SST k - ω model is used as the turbulence model for Low Reynolds Number flows in the order of 105. A homogenous dynamic mesh is used to reduce cell skewness of mesh to prevent non-physical oscillations in aerodynamic forces unlike previous studies. In this paper, the effects of Reynolds number, reduced frequency, oscillation amplitude and airfoil thickness on aerodynamic force coefficients and dynamic stall delay are investigated. These parameters have a significant impact on the maximum lift, drag, the ratio of aerodynamic forces and the location of dynamic stall. The most important parameters that affect the maximum lift to drag coefficient ratio and cause dynamic stall delaying are airfoil thickness and reduced frequency, respectively.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462019000100343
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462019000100343
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5028/jatm.v11.1076
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Departamento de Ciência e Tecnologia Aeroespacial
publisher.none.fl_str_mv Departamento de Ciência e Tecnologia Aeroespacial
dc.source.none.fl_str_mv Journal of Aerospace Technology and Management v.11 2019
reponame:Journal of Aerospace Technology and Management (Online)
instname:Departamento de Ciência e Tecnologia Aeroespacial (DCTA)
instacron:DCTA
instname_str Departamento de Ciência e Tecnologia Aeroespacial (DCTA)
instacron_str DCTA
institution DCTA
reponame_str Journal of Aerospace Technology and Management (Online)
collection Journal of Aerospace Technology and Management (Online)
repository.name.fl_str_mv Journal of Aerospace Technology and Management (Online) - Departamento de Ciência e Tecnologia Aeroespacial (DCTA)
repository.mail.fl_str_mv ||secretary@jatm.com.br
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