Aerothermodynamic Optimization of Aerospace Plane Airfoil Leading Edge

Detalhes bibliográficos
Autor(a) principal: Zhou,Chen
Data de Publicação: 2017
Outros Autores: Wang,Zhijin, Zhi,Jiaoyang, Kretov,Anatolii
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=S2175-91462017000400503
Resumo: ABSTRACT: Aiming to mitigate the aerodynamic heating during hypersonic re-entry, the aerothermodynamic optimization of aerospace plane airfoil leading edge is conducted. Lift-to-drag ratio at landing condition is taken as a constraint to ensure the landing aerodynamic performance. First, airfoil profile is parametrically described to be more advantageous during the optimization process, and the Hicks-Henne type function is improved considering its application on the airfoil leading edge. Computational Fluid Dynamics models at hypersonic as well as landing conditions are then established and discussed. Design of Experiment technique is utilized to establish the surrogate model. Afterwards, the previously mentioned surrogate model is employed in combination with the Multi-Island Genetic Algorithm to perform the optimization procedure. NACA 0012 is taken as the baseline airfoil for case study. The results show that the peak heat flux of the optimal airfoil during hypersonic flight is reduced by 7.61% at the stagnation point, while the lift-to-drag remains almost unchanged under landing condition.
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spelling Aerothermodynamic Optimization of Aerospace Plane Airfoil Leading EdgeAirfoil optimizationAerodynamic heatingHicks-Henne type functionAirfoil parameterizationSurrogate modelABSTRACT: Aiming to mitigate the aerodynamic heating during hypersonic re-entry, the aerothermodynamic optimization of aerospace plane airfoil leading edge is conducted. Lift-to-drag ratio at landing condition is taken as a constraint to ensure the landing aerodynamic performance. First, airfoil profile is parametrically described to be more advantageous during the optimization process, and the Hicks-Henne type function is improved considering its application on the airfoil leading edge. Computational Fluid Dynamics models at hypersonic as well as landing conditions are then established and discussed. Design of Experiment technique is utilized to establish the surrogate model. Afterwards, the previously mentioned surrogate model is employed in combination with the Multi-Island Genetic Algorithm to perform the optimization procedure. NACA 0012 is taken as the baseline airfoil for case study. The results show that the peak heat flux of the optimal airfoil during hypersonic flight is reduced by 7.61% at the stagnation point, while the lift-to-drag remains almost unchanged under landing condition.Departamento de Ciência e Tecnologia Aeroespacial2017-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462017000400503Journal of Aerospace Technology and Management v.9 n.4 2017reponame:Journal of Aerospace Technology and Management (Online)instname:Departamento de Ciência e Tecnologia Aeroespacial (DCTA)instacron:DCTA10.5028/jatm.v9i4.820info:eu-repo/semantics/openAccessZhou,ChenWang,ZhijinZhi,JiaoyangKretov,Anatoliieng2017-10-17T00:00:00Zoai:scielo:S2175-91462017000400503Revistahttp://www.jatm.com.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||secretary@jatm.com.br2175-91461984-9648opendoar:2017-10-17T00:00Journal of Aerospace Technology and Management (Online) - Departamento de Ciência e Tecnologia Aeroespacial (DCTA)false
dc.title.none.fl_str_mv Aerothermodynamic Optimization of Aerospace Plane Airfoil Leading Edge
title Aerothermodynamic Optimization of Aerospace Plane Airfoil Leading Edge
spellingShingle Aerothermodynamic Optimization of Aerospace Plane Airfoil Leading Edge
Zhou,Chen
Airfoil optimization
Aerodynamic heating
Hicks-Henne type function
Airfoil parameterization
Surrogate model
title_short Aerothermodynamic Optimization of Aerospace Plane Airfoil Leading Edge
title_full Aerothermodynamic Optimization of Aerospace Plane Airfoil Leading Edge
title_fullStr Aerothermodynamic Optimization of Aerospace Plane Airfoil Leading Edge
title_full_unstemmed Aerothermodynamic Optimization of Aerospace Plane Airfoil Leading Edge
title_sort Aerothermodynamic Optimization of Aerospace Plane Airfoil Leading Edge
author Zhou,Chen
author_facet Zhou,Chen
Wang,Zhijin
Zhi,Jiaoyang
Kretov,Anatolii
author_role author
author2 Wang,Zhijin
Zhi,Jiaoyang
Kretov,Anatolii
author2_role author
author
author
dc.contributor.author.fl_str_mv Zhou,Chen
Wang,Zhijin
Zhi,Jiaoyang
Kretov,Anatolii
dc.subject.por.fl_str_mv Airfoil optimization
Aerodynamic heating
Hicks-Henne type function
Airfoil parameterization
Surrogate model
topic Airfoil optimization
Aerodynamic heating
Hicks-Henne type function
Airfoil parameterization
Surrogate model
description ABSTRACT: Aiming to mitigate the aerodynamic heating during hypersonic re-entry, the aerothermodynamic optimization of aerospace plane airfoil leading edge is conducted. Lift-to-drag ratio at landing condition is taken as a constraint to ensure the landing aerodynamic performance. First, airfoil profile is parametrically described to be more advantageous during the optimization process, and the Hicks-Henne type function is improved considering its application on the airfoil leading edge. Computational Fluid Dynamics models at hypersonic as well as landing conditions are then established and discussed. Design of Experiment technique is utilized to establish the surrogate model. Afterwards, the previously mentioned surrogate model is employed in combination with the Multi-Island Genetic Algorithm to perform the optimization procedure. NACA 0012 is taken as the baseline airfoil for case study. The results show that the peak heat flux of the optimal airfoil during hypersonic flight is reduced by 7.61% at the stagnation point, while the lift-to-drag remains almost unchanged under landing condition.
publishDate 2017
dc.date.none.fl_str_mv 2017-12-01
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=S2175-91462017000400503
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462017000400503
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5028/jatm.v9i4.820
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.9 n.4 2017
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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