PARSEC PARAMETERIZATION METHODOLOGY FOR ENHANCING AIRFOILS GEOMETRY USING PSO ALGORITHM
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
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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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 |
_version_ |
1798315224840798208 |