Fluid distribution optimization in porous media using leaf venation patterns

Detalhes bibliográficos
Autor(a) principal: Caio Martins Ramos de Oliveira
Data de Publicação: 2017
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Biblioteca Digital de Teses e Dissertações da USP
Texto Completo: https://doi.org/10.11606/D.43.2017.tde-11052017-124107
Resumo: Several examples of nearly optimal transport networks can be found in nature. These networks effectively distribute and drain fluids throughout a medium. Evidence suggests that blood vessels of the circulatory system, airways in the lungs and veins of leaf venations are examples of networks that have evolved to become effective in their tasks while simultaneously being energy efficient. Hence, it does not come as a surprise that recent performance improvements of modern power generating devices occur due to the use of nature-inspired channel architectures. Guided by this observations, in this work, we investigate the application of visually realistic computer-generated leaf venation patterns to a type of photovoltaic device. We solve the flow through the device problem using Computational Fluid Dynamics (CFD) tools. Moreover, we attempt to develop experimentals models. Ultimately, we seek to single out the network properties that affect their performance.
id USP_3969000fd4d144f3a7d93a01f273c61b
oai_identifier_str oai:teses.usp.br:tde-11052017-124107
network_acronym_str USP
network_name_str Biblioteca Digital de Teses e Dissertações da USP
repository_id_str 2721
spelling info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis Fluid distribution optimization in porous media using leaf venation patterns Otimização da distribuição de fluidos em meios porosos usando padrões de venações de folhas 2017-03-22Adriano Mesquita AlencarClaudimir Lucio do LagoCaetano Rodrigues MirandaCaio Martins Ramos de OliveiraUniversidade de São PauloFísicaUSPBR channel networks Computational fluid dynamics diagramas de Voronoi Dinâmica dos fluidos computacional Fluid mechanics leaf venations Mecânica dos fluidos redes de canais venação de folhas Voronoi diagrams Several examples of nearly optimal transport networks can be found in nature. These networks effectively distribute and drain fluids throughout a medium. Evidence suggests that blood vessels of the circulatory system, airways in the lungs and veins of leaf venations are examples of networks that have evolved to become effective in their tasks while simultaneously being energy efficient. Hence, it does not come as a surprise that recent performance improvements of modern power generating devices occur due to the use of nature-inspired channel architectures. Guided by this observations, in this work, we investigate the application of visually realistic computer-generated leaf venation patterns to a type of photovoltaic device. We solve the flow through the device problem using Computational Fluid Dynamics (CFD) tools. Moreover, we attempt to develop experimentals models. Ultimately, we seek to single out the network properties that affect their performance. Diversos exemplos de redes de transporte quase ótimas podem ser encontradas na natureza. Essas redes distribuem e coletam fluidos através de um meio. Evidências sugerem que os vasos sanguíneos do sistema circulatório, as vias respiratórias nos pulmões e as veias das venações em folhas são exemplares de redes que evoluiram para se tornarem efetivas em suas tarefas sendo, ao mesmo tempo, eficientes energeticamente. Dessa forma, não chega a ser surpreendente que recentes melhorias de performance em dispositivos de geração de energia modernos ocorrem devido ao uso de arquiteturas de canais inspiradas na natureza. Guiados por estas observações, nesse trabalho, investigamos a aplicação de padrões de venações verossímeis geradas por computador em um tipo de dispositivo fotovoltaico. Resolvemos o problema de escoamento através do dispositivo usando ferramentas de Dinâmica de Fluidos Computacional (CFD). Além disso, procuramos desenvolver modelos experimentais. Em última instância, estamos em busca das propriedades da rede que afetam sua performance. https://doi.org/10.11606/D.43.2017.tde-11052017-124107info:eu-repo/semantics/openAccessengreponame:Biblioteca Digital de Teses e Dissertações da USPinstname:Universidade de São Paulo (USP)instacron:USP2023-12-21T18:41:41Zoai:teses.usp.br:tde-11052017-124107Biblioteca Digital de Teses e Dissertaçõeshttp://www.teses.usp.br/PUBhttp://www.teses.usp.br/cgi-bin/mtd2br.plvirginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.bropendoar:27212023-12-22T12:29:31.466585Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP)false
dc.title.en.fl_str_mv Fluid distribution optimization in porous media using leaf venation patterns
dc.title.alternative.pt.fl_str_mv Otimização da distribuição de fluidos em meios porosos usando padrões de venações de folhas
title Fluid distribution optimization in porous media using leaf venation patterns
spellingShingle Fluid distribution optimization in porous media using leaf venation patterns
Caio Martins Ramos de Oliveira
title_short Fluid distribution optimization in porous media using leaf venation patterns
title_full Fluid distribution optimization in porous media using leaf venation patterns
title_fullStr Fluid distribution optimization in porous media using leaf venation patterns
title_full_unstemmed Fluid distribution optimization in porous media using leaf venation patterns
title_sort Fluid distribution optimization in porous media using leaf venation patterns
author Caio Martins Ramos de Oliveira
author_facet Caio Martins Ramos de Oliveira
author_role author
dc.contributor.advisor1.fl_str_mv Adriano Mesquita Alencar
dc.contributor.referee1.fl_str_mv Claudimir Lucio do Lago
dc.contributor.referee2.fl_str_mv Caetano Rodrigues Miranda
dc.contributor.author.fl_str_mv Caio Martins Ramos de Oliveira
contributor_str_mv Adriano Mesquita Alencar
Claudimir Lucio do Lago
Caetano Rodrigues Miranda
description Several examples of nearly optimal transport networks can be found in nature. These networks effectively distribute and drain fluids throughout a medium. Evidence suggests that blood vessels of the circulatory system, airways in the lungs and veins of leaf venations are examples of networks that have evolved to become effective in their tasks while simultaneously being energy efficient. Hence, it does not come as a surprise that recent performance improvements of modern power generating devices occur due to the use of nature-inspired channel architectures. Guided by this observations, in this work, we investigate the application of visually realistic computer-generated leaf venation patterns to a type of photovoltaic device. We solve the flow through the device problem using Computational Fluid Dynamics (CFD) tools. Moreover, we attempt to develop experimentals models. Ultimately, we seek to single out the network properties that affect their performance.
publishDate 2017
dc.date.issued.fl_str_mv 2017-03-22
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.11606/D.43.2017.tde-11052017-124107
url https://doi.org/10.11606/D.43.2017.tde-11052017-124107
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade de São Paulo
dc.publisher.program.fl_str_mv Física
dc.publisher.initials.fl_str_mv USP
dc.publisher.country.fl_str_mv BR
publisher.none.fl_str_mv Universidade de São Paulo
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações da USP
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Biblioteca Digital de Teses e Dissertações da USP
collection Biblioteca Digital de Teses e Dissertações da USP
repository.name.fl_str_mv Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP)
repository.mail.fl_str_mv virginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.br
_version_ 1794502651537260544

Registros relacionados