PARSEC PARAMETERIZATION METHODOLOGY FOR ENHANCING AIRFOILS GEOMETRY USING PSO ALGORITHM

Detalhes bibliográficos
Autor(a) principal: da S. Neto, Rafael Alves
Data de Publicação: 2017
Outros Autores: Noleto, Luciano Gonçalves, de Souza, Josiane do S. Aguiar, Brasil Jr., Antônio Cesar Pinho
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Interdisciplinar de Pesquisa em Engenharia
Texto Completo: https://periodicos.unb.br/index.php/ripe/article/view/15031
Resumo: The electromechanical generating system is mainly based on the characteristics wherein the turbine has to ”harvest” the energy of a working fluid. Thus, the engineering behind the blades, such as the geometry and construction, must be effectively consolidated to increase the overall turbine efficiency. This work aims to go further into the computational principles of modeling the turbine blades, precisely, the hydrokinetic turbine hydrofoil built by LEA (Engineering Laboratory and Environment - UNB). The study has a focus on designing and analyzing, through numerical studies of parameterization and optimization profiles, blades using computational tools such as MATLAB R2016b and XFOIL. In this case, the model study is part of the airfoil theory combined with the Particle Swarm Optimization technic (PSO), which are implemented to get a maximum utilization of the aerodynamic coefficient CL over CD of the blade. Furthermore, an optimal turbine blade geometry, set by PARSEC parameter, is found and compared with results obtained from the original hydrofoil, using the software of profile analysis XFOIL, to certify the mathematical method, proving its effectiveness to parameterize hydrodynamic profiles and optimize their geometries.Keywords: Hydrokinetic Turbine. Airfoils. Parameterization and Optimization. Parsec. PSO.
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spelling PARSEC PARAMETERIZATION METHODOLOGY FOR ENHANCING AIRFOILS GEOMETRY USING PSO ALGORITHMThe electromechanical generating system is mainly based on the characteristics wherein the turbine has to ”harvest” the energy of a working fluid. Thus, the engineering behind the blades, such as the geometry and construction, must be effectively consolidated to increase the overall turbine efficiency. This work aims to go further into the computational principles of modeling the turbine blades, precisely, the hydrokinetic turbine hydrofoil built by LEA (Engineering Laboratory and Environment - UNB). The study has a focus on designing and analyzing, through numerical studies of parameterization and optimization profiles, blades using computational tools such as MATLAB R2016b and XFOIL. In this case, the model study is part of the airfoil theory combined with the Particle Swarm Optimization technic (PSO), which are implemented to get a maximum utilization of the aerodynamic coefficient CL over CD of the blade. Furthermore, an optimal turbine blade geometry, set by PARSEC parameter, is found and compared with results obtained from the original hydrofoil, using the software of profile analysis XFOIL, to certify the mathematical method, proving its effectiveness to parameterize hydrodynamic profiles and optimize their geometries.Keywords: Hydrokinetic Turbine. Airfoils. Parameterization and Optimization. Parsec. PSO.Programa de Pós-Graduação em Integridade de Materiais da Engenharia2017-01-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.unb.br/index.php/ripe/article/view/1503110.26512/ripe.v2i9.15031Revista Interdisciplinar de Pesquisa em Engenharia; Vol. 2 No. 9 (2016): COMPUTATIONAL INTELLIGENCE TECHNIQUES FOR OPTMIZATION AND DATA MODELING (I); 1-14Revista Interdisciplinar de Pesquisa em Engenharia; v. 2 n. 9 (2016): COMPUTATIONAL INTELLIGENCE TECHNIQUES FOR OPTMIZATION AND DATA MODELING (I); 1-142447-6102reponame:Revista Interdisciplinar de Pesquisa em Engenhariainstname:Universidade de Brasília (UnB)instacron:UNBenghttps://periodicos.unb.br/index.php/ripe/article/view/15031/13345Copyright (c) 2017 Revista Interdisciplinar de Pesquisa em Engenharia - RIPEinfo:eu-repo/semantics/openAccessda S. Neto, Rafael AlvesNoleto, Luciano Gonçalvesde Souza, Josiane do S. AguiarBrasil Jr., Antônio Cesar Pinho2019-06-09T21:24:29Zoai:ojs.pkp.sfu.ca:article/15031Revistahttps://periodicos.unb.br/index.php/ripePUBhttps://periodicos.unb.br/index.php/ripe/oaianflor@unb.br2447-61022447-6102opendoar:2019-06-09T21:24:29Revista Interdisciplinar de Pesquisa em Engenharia - Universidade de Brasília (UnB)false
dc.title.none.fl_str_mv PARSEC PARAMETERIZATION METHODOLOGY FOR ENHANCING AIRFOILS GEOMETRY USING PSO ALGORITHM
title PARSEC PARAMETERIZATION METHODOLOGY FOR ENHANCING AIRFOILS GEOMETRY USING PSO ALGORITHM
spellingShingle PARSEC PARAMETERIZATION METHODOLOGY FOR ENHANCING AIRFOILS GEOMETRY USING PSO ALGORITHM
da S. Neto, Rafael Alves
title_short PARSEC PARAMETERIZATION METHODOLOGY FOR ENHANCING AIRFOILS GEOMETRY USING PSO ALGORITHM
title_full PARSEC PARAMETERIZATION METHODOLOGY FOR ENHANCING AIRFOILS GEOMETRY USING PSO ALGORITHM
title_fullStr PARSEC PARAMETERIZATION METHODOLOGY FOR ENHANCING AIRFOILS GEOMETRY USING PSO ALGORITHM
title_full_unstemmed PARSEC PARAMETERIZATION METHODOLOGY FOR ENHANCING AIRFOILS GEOMETRY USING PSO ALGORITHM
title_sort PARSEC PARAMETERIZATION METHODOLOGY FOR ENHANCING AIRFOILS GEOMETRY USING PSO ALGORITHM
author da S. Neto, Rafael Alves
author_facet da S. Neto, Rafael Alves
Noleto, Luciano Gonçalves
de Souza, Josiane do S. Aguiar
Brasil Jr., Antônio Cesar Pinho
author_role author
author2 Noleto, Luciano Gonçalves
de Souza, Josiane do S. Aguiar
Brasil Jr., Antônio Cesar Pinho
author2_role author
author
author
dc.contributor.author.fl_str_mv da S. Neto, Rafael Alves
Noleto, Luciano Gonçalves
de Souza, Josiane do S. Aguiar
Brasil Jr., Antônio Cesar Pinho
description The electromechanical generating system is mainly based on the characteristics wherein the turbine has to ”harvest” the energy of a working fluid. Thus, the engineering behind the blades, such as the geometry and construction, must be effectively consolidated to increase the overall turbine efficiency. This work aims to go further into the computational principles of modeling the turbine blades, precisely, the hydrokinetic turbine hydrofoil built by LEA (Engineering Laboratory and Environment - UNB). The study has a focus on designing and analyzing, through numerical studies of parameterization and optimization profiles, blades using computational tools such as MATLAB R2016b and XFOIL. In this case, the model study is part of the airfoil theory combined with the Particle Swarm Optimization technic (PSO), which are implemented to get a maximum utilization of the aerodynamic coefficient CL over CD of the blade. Furthermore, an optimal turbine blade geometry, set by PARSEC parameter, is found and compared with results obtained from the original hydrofoil, using the software of profile analysis XFOIL, to certify the mathematical method, proving its effectiveness to parameterize hydrodynamic profiles and optimize their geometries.Keywords: Hydrokinetic Turbine. Airfoils. Parameterization and Optimization. Parsec. PSO.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-25
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.unb.br/index.php/ripe/article/view/15031
10.26512/ripe.v2i9.15031
url https://periodicos.unb.br/index.php/ripe/article/view/15031
identifier_str_mv 10.26512/ripe.v2i9.15031
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.unb.br/index.php/ripe/article/view/15031/13345
dc.rights.driver.fl_str_mv Copyright (c) 2017 Revista Interdisciplinar de Pesquisa em Engenharia - RIPE
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Revista Interdisciplinar de Pesquisa em Engenharia - RIPE
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Programa de Pós-Graduação em Integridade de Materiais da Engenharia
publisher.none.fl_str_mv Programa de Pós-Graduação em Integridade de Materiais da Engenharia
dc.source.none.fl_str_mv Revista Interdisciplinar de Pesquisa em Engenharia; Vol. 2 No. 9 (2016): COMPUTATIONAL INTELLIGENCE TECHNIQUES FOR OPTMIZATION AND DATA MODELING (I); 1-14
Revista Interdisciplinar de Pesquisa em Engenharia; v. 2 n. 9 (2016): COMPUTATIONAL INTELLIGENCE TECHNIQUES FOR OPTMIZATION AND DATA MODELING (I); 1-14
2447-6102
reponame:Revista Interdisciplinar de Pesquisa em Engenharia
instname:Universidade de Brasília (UnB)
instacron:UNB
instname_str Universidade de Brasília (UnB)
instacron_str UNB
institution UNB
reponame_str Revista Interdisciplinar de Pesquisa em Engenharia
collection Revista Interdisciplinar de Pesquisa em Engenharia
repository.name.fl_str_mv Revista Interdisciplinar de Pesquisa em Engenharia - Universidade de Brasília (UnB)
repository.mail.fl_str_mv anflor@unb.br
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