Real-time optimization of wing drag and lift performance using a movable leading edge
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.6/14088 |
Resumo: | A real-time optimization strategy can provide any system with a considerable boost in performance on the fly, which in real-world applications can be translated to lower energy consumption or higher efficiency. This study investigates the particular case of using real-time optimization to improve wing aerodynamic performance with a dynamically activated deflectable leading edge. Its activation aims to minimize drag and maximize lift and is governed by real-time and gradient-based optimization. An extension to a classic method is suggested to enhance gradient estimation accuracy. Experimental data are obtained at a Reynolds number of with the wing fixed at five positions. For each of these positions, optimal leading-edge deflections are found. The results indicate that deflecting the leading edge has a negligible impact on drag and lift before the stall onset. However, the reduction in the pitching moment cannot be ignored. When the wing is experiencing a proper stall, the movable leading edge yields remarkable enhancements, with the lift being approximately raised by 45% together with a substantial increase in the critical angle of attack. The findings highlight the potential of real-time optimization in experimental aerodynamic studies, reinvigorating its application in improving aircraft performance. |
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Real-time optimization of wing drag and lift performance using a movable leading edgeControl equipmentComputer softwareAircraftTransducersOptimization algorithmsAerodynamicsFlow controlFluid dragEnergy consumptionRegression analysisA real-time optimization strategy can provide any system with a considerable boost in performance on the fly, which in real-world applications can be translated to lower energy consumption or higher efficiency. This study investigates the particular case of using real-time optimization to improve wing aerodynamic performance with a dynamically activated deflectable leading edge. Its activation aims to minimize drag and maximize lift and is governed by real-time and gradient-based optimization. An extension to a classic method is suggested to enhance gradient estimation accuracy. Experimental data are obtained at a Reynolds number of with the wing fixed at five positions. For each of these positions, optimal leading-edge deflections are found. The results indicate that deflecting the leading edge has a negligible impact on drag and lift before the stall onset. However, the reduction in the pitching moment cannot be ignored. When the wing is experiencing a proper stall, the movable leading edge yields remarkable enhancements, with the lift being approximately raised by 45% together with a substantial increase in the critical angle of attack. The findings highlight the potential of real-time optimization in experimental aerodynamic studies, reinvigorating its application in improving aircraft performance.Fundação para a Ciência e Tecnologia (FCT) e Brazilian National Council for Scientific and Technological Development (CNPq Grant Nos. 306824/2019-1 and #303884/2021-5).AIP PublishinguBibliorumCamacho, E. A. R.Silva, Maíra Martins daSilva, A. R. R.Marques, Flávio D.2024-01-162026-01-16T00:00:00Z2024-01-16T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/14088engE. A. R. Camacho; M. M. da Silva; A. R. R. Silva; F. D. Marques; Real-time optimization of wing drag and lift performance using a movable leading edge, Physics of Fluids 36, 016128 (2024), DOI: 10.1063/5.01857161070-663110.1063/5.0185716info:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-24T04:57:20Zoai:ubibliorum.ubi.pt:10400.6/14088Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:56:53.682249Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Real-time optimization of wing drag and lift performance using a movable leading edge |
title |
Real-time optimization of wing drag and lift performance using a movable leading edge |
spellingShingle |
Real-time optimization of wing drag and lift performance using a movable leading edge Camacho, E. A. R. Control equipment Computer software Aircraft Transducers Optimization algorithms Aerodynamics Flow control Fluid drag Energy consumption Regression analysis |
title_short |
Real-time optimization of wing drag and lift performance using a movable leading edge |
title_full |
Real-time optimization of wing drag and lift performance using a movable leading edge |
title_fullStr |
Real-time optimization of wing drag and lift performance using a movable leading edge |
title_full_unstemmed |
Real-time optimization of wing drag and lift performance using a movable leading edge |
title_sort |
Real-time optimization of wing drag and lift performance using a movable leading edge |
author |
Camacho, E. A. R. |
author_facet |
Camacho, E. A. R. Silva, Maíra Martins da Silva, A. R. R. Marques, Flávio D. |
author_role |
author |
author2 |
Silva, Maíra Martins da Silva, A. R. R. Marques, Flávio D. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
uBibliorum |
dc.contributor.author.fl_str_mv |
Camacho, E. A. R. Silva, Maíra Martins da Silva, A. R. R. Marques, Flávio D. |
dc.subject.por.fl_str_mv |
Control equipment Computer software Aircraft Transducers Optimization algorithms Aerodynamics Flow control Fluid drag Energy consumption Regression analysis |
topic |
Control equipment Computer software Aircraft Transducers Optimization algorithms Aerodynamics Flow control Fluid drag Energy consumption Regression analysis |
description |
A real-time optimization strategy can provide any system with a considerable boost in performance on the fly, which in real-world applications can be translated to lower energy consumption or higher efficiency. This study investigates the particular case of using real-time optimization to improve wing aerodynamic performance with a dynamically activated deflectable leading edge. Its activation aims to minimize drag and maximize lift and is governed by real-time and gradient-based optimization. An extension to a classic method is suggested to enhance gradient estimation accuracy. Experimental data are obtained at a Reynolds number of with the wing fixed at five positions. For each of these positions, optimal leading-edge deflections are found. The results indicate that deflecting the leading edge has a negligible impact on drag and lift before the stall onset. However, the reduction in the pitching moment cannot be ignored. When the wing is experiencing a proper stall, the movable leading edge yields remarkable enhancements, with the lift being approximately raised by 45% together with a substantial increase in the critical angle of attack. The findings highlight the potential of real-time optimization in experimental aerodynamic studies, reinvigorating its application in improving aircraft performance. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-01-16 2024-01-16T00:00:00Z 2026-01-16T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.6/14088 |
url |
http://hdl.handle.net/10400.6/14088 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
E. A. R. Camacho; M. M. da Silva; A. R. R. Silva; F. D. Marques; Real-time optimization of wing drag and lift performance using a movable leading edge, Physics of Fluids 36, 016128 (2024), DOI: 10.1063/5.0185716 1070-6631 10.1063/5.0185716 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
AIP Publishing |
publisher.none.fl_str_mv |
AIP Publishing |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799137056332447744 |