Investigação da dinâmica de formação de gotas no interior de microcanais via técnicas de CFD
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFG |
Texto Completo: | http://repositorio.bc.ufg.br/tede/handle/tede/10472 |
Resumo: | Microfluidics has a recent origin and its development is based on microanalytical methods. Defined as the science and technology that addresses the manipulation of small amounts of fluids flowing into channels of tens to hundreds of micrometers, microfluidics today has a diversity of applications due to their characteristics of control efficiency. In this work, the microfluidics applications are briefly addressed, the physical characteristics phenomena that govern it are elucidated by identifying the general flow characteristics, the relevant phenomena and dimensionless studies of flow in channels on the micro-scale, as well as the interfacial properties, which appear in multiphase systems. The mathematical basis used to study the flow phenomena is still addressed. Computational fluid dynamics (CFD) techniques are used as a methodology for development, to overcome the limits of laboratory experimentation (observed here the numerical control of the value for interfacial properties). For the study of multiphase microfluidic flows, the Multiphase Fluid Volume Model (VOF) is used, which allows the flow to be solved numerically and to observe its behavior through the interfaces between immiscible fluids. Given this, in this work, the VOF model was validated with experimental results, both quantitatively and qualitatively, to predict the entire process of generating drops within microchannels. Additionally, the Adaptive Mesh Refining (AMR) technique was used to better track the interface between the fluid phases. The effects of the microchannel geometry, the physical properties of the fluids and the operating conditions, on the size and rate of droplet generation were evaluated using the multiple regression techniques. A dimensionless correlation was also proposed for the prediction of droplet length in which the relative error was 8.2%. |
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Santos, Dyrney Araújo doshttp://lattes.cnpq.br/8987869956010169Santos, Dyrney Araújo dosColtro, Wendell Karlos TomazelliSouza, Thiago Leandro dehttp://lattes.cnpq.br/6891278768707738Chaves, Igor Lima2020-03-30T11:11:36Z2020-02-18CHAVES, I. L. Investigação da dinâmica de formação de gotas no interior de microcanais via técnicas de CFD. 2020. 55 f. Dissertação (Mestrado em Engenharia Química) - Universidade Federal de Goiás, Goiânia, 2020.http://repositorio.bc.ufg.br/tede/handle/tede/10472ark:/38995/0013000009z4wMicrofluidics has a recent origin and its development is based on microanalytical methods. Defined as the science and technology that addresses the manipulation of small amounts of fluids flowing into channels of tens to hundreds of micrometers, microfluidics today has a diversity of applications due to their characteristics of control efficiency. In this work, the microfluidics applications are briefly addressed, the physical characteristics phenomena that govern it are elucidated by identifying the general flow characteristics, the relevant phenomena and dimensionless studies of flow in channels on the micro-scale, as well as the interfacial properties, which appear in multiphase systems. The mathematical basis used to study the flow phenomena is still addressed. Computational fluid dynamics (CFD) techniques are used as a methodology for development, to overcome the limits of laboratory experimentation (observed here the numerical control of the value for interfacial properties). For the study of multiphase microfluidic flows, the Multiphase Fluid Volume Model (VOF) is used, which allows the flow to be solved numerically and to observe its behavior through the interfaces between immiscible fluids. Given this, in this work, the VOF model was validated with experimental results, both quantitatively and qualitatively, to predict the entire process of generating drops within microchannels. Additionally, the Adaptive Mesh Refining (AMR) technique was used to better track the interface between the fluid phases. The effects of the microchannel geometry, the physical properties of the fluids and the operating conditions, on the size and rate of droplet generation were evaluated using the multiple regression techniques. A dimensionless correlation was also proposed for the prediction of droplet length in which the relative error was 8.2%.A microfluídica tem origem recente e seu desenvolvimento é baseado em métodos microanalíticos. Definida como a ciência e tecnologia que aborda a manipulação de pequenas quantidades de fluídos escoando no interior de canais de dezenas a centenas de micrómetros, a microfluídica hoje tem uma diversidade de aplicação devido suas características de eficiência de controle. Neste trabalho, é brevemente abordado as aplicações da microfluídica, as características dos fenômenos físicos que a governam são elucidadas identificando as características gerais do escoamento, os fenômenos e adimensionais relevantes em estudos de escoamentos em canais na escala micro, bem como as propriedades interfaciais, que aparecem em sistemas multifásicos. Ainda é abordado a base matemática utilizada para estudo dos fenômenos de escoamento. As técnicas de fluidodinâmica computacional (CFD) são utilizadas como metodologia para o desenvolvimento, na intenção de superar os limites da experimentação em laboratório (observado aqui o controle do valor numérico das propriedades interfaciais). Para o estudo dos escoamentos microfluídicos multifásicos é utilizado o Modelo Multifásico de Volume de Fluído (VOF), o qual permite solucionar o escoamento de forma numérica e observar seu comportamento através das interfaces entre fluídos imiscíveis. Diante disto, neste trabalho, o modelo VOF foi validado com resultados experimentais, tanto quantitativo, quanto qualitativamente, com o intuito de prever todo o processo de geração de gotas no interior de microcanais. Adicionalmente, foi utilizado a técnica de Refino de Malha Adaptativo (AMR) para melhor rastrear a interface entre as fases fluídas. Os efeitos da geometria dos microcanais, das propriedades físicas do fluídos e das condições operacionais, sobre o tamanho e a taxa de geração das gotas foram avaliados por meio da técnica de regressão múltipla. Foi proposta, também, uma correlação adimensional para a previsão do comprimento de gotas no qual o erro relativo foi de 8.2%.Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2020-03-27T13:20:28Z No. of bitstreams: 2 Dissertação - Igor Lima Chaves - 2020.pdf: 3759553 bytes, checksum: c6e935df9d67593cb990ba2e1318ea90 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2020-03-30T11:11:36Z (GMT) No. of bitstreams: 2 Dissertação - Igor Lima Chaves - 2020.pdf: 3759553 bytes, checksum: c6e935df9d67593cb990ba2e1318ea90 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)Made available in DSpace on 2020-03-30T11:11:36Z (GMT). No. of bitstreams: 2 Dissertação - Igor Lima Chaves - 2020.pdf: 3759553 bytes, checksum: c6e935df9d67593cb990ba2e1318ea90 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2020-02-18Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESapplication/pdfporUniversidade Federal de GoiásPrograma de Pós-graduação em Engenharia Química (IQ)UFGBrasilInstituto de Química - IQ (RG)http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessMicroflúidicaFluidodinâmica computacionalCFDRefinamento de malha adaptativoAMRVOFEscoamento multifásicoMicrofluidicsCFDComputational fluid dynamicsAdaptive mesh refinementAMRVOFMultiphase flowENGENHARIAS::ENGENHARIA QUIMICAInvestigação da dinâmica de formação de gotas no interior de microcanais via técnicas de CFDDroplets formation dynamics investigation inside microchannels via CFD techniquesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis34814965011584600786006006006007826066743741197278-18486402610968708782075167498588264571reponame:Repositório Institucional da UFGinstname:Universidade Federal de Goiás (UFG)instacron:UFGLICENSElicense.txtlicense.txttext/plain; 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dc.title.eng.fl_str_mv |
Investigação da dinâmica de formação de gotas no interior de microcanais via técnicas de CFD |
dc.title.alternative.eng.fl_str_mv |
Droplets formation dynamics investigation inside microchannels via CFD techniques |
title |
Investigação da dinâmica de formação de gotas no interior de microcanais via técnicas de CFD |
spellingShingle |
Investigação da dinâmica de formação de gotas no interior de microcanais via técnicas de CFD Chaves, Igor Lima Microflúidica Fluidodinâmica computacional CFD Refinamento de malha adaptativo AMR VOF Escoamento multifásico Microfluidics CFD Computational fluid dynamics Adaptive mesh refinement AMR VOF Multiphase flow ENGENHARIAS::ENGENHARIA QUIMICA |
title_short |
Investigação da dinâmica de formação de gotas no interior de microcanais via técnicas de CFD |
title_full |
Investigação da dinâmica de formação de gotas no interior de microcanais via técnicas de CFD |
title_fullStr |
Investigação da dinâmica de formação de gotas no interior de microcanais via técnicas de CFD |
title_full_unstemmed |
Investigação da dinâmica de formação de gotas no interior de microcanais via técnicas de CFD |
title_sort |
Investigação da dinâmica de formação de gotas no interior de microcanais via técnicas de CFD |
author |
Chaves, Igor Lima |
author_facet |
Chaves, Igor Lima |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Santos, Dyrney Araújo dos |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/8987869956010169 |
dc.contributor.referee1.fl_str_mv |
Santos, Dyrney Araújo dos |
dc.contributor.referee2.fl_str_mv |
Coltro, Wendell Karlos Tomazelli |
dc.contributor.referee3.fl_str_mv |
Souza, Thiago Leandro de |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/6891278768707738 |
dc.contributor.author.fl_str_mv |
Chaves, Igor Lima |
contributor_str_mv |
Santos, Dyrney Araújo dos Santos, Dyrney Araújo dos Coltro, Wendell Karlos Tomazelli Souza, Thiago Leandro de |
dc.subject.por.fl_str_mv |
Microflúidica Fluidodinâmica computacional CFD Refinamento de malha adaptativo AMR VOF Escoamento multifásico |
topic |
Microflúidica Fluidodinâmica computacional CFD Refinamento de malha adaptativo AMR VOF Escoamento multifásico Microfluidics CFD Computational fluid dynamics Adaptive mesh refinement AMR VOF Multiphase flow ENGENHARIAS::ENGENHARIA QUIMICA |
dc.subject.eng.fl_str_mv |
Microfluidics CFD Computational fluid dynamics Adaptive mesh refinement AMR VOF Multiphase flow |
dc.subject.cnpq.fl_str_mv |
ENGENHARIAS::ENGENHARIA QUIMICA |
description |
Microfluidics has a recent origin and its development is based on microanalytical methods. Defined as the science and technology that addresses the manipulation of small amounts of fluids flowing into channels of tens to hundreds of micrometers, microfluidics today has a diversity of applications due to their characteristics of control efficiency. In this work, the microfluidics applications are briefly addressed, the physical characteristics phenomena that govern it are elucidated by identifying the general flow characteristics, the relevant phenomena and dimensionless studies of flow in channels on the micro-scale, as well as the interfacial properties, which appear in multiphase systems. The mathematical basis used to study the flow phenomena is still addressed. Computational fluid dynamics (CFD) techniques are used as a methodology for development, to overcome the limits of laboratory experimentation (observed here the numerical control of the value for interfacial properties). For the study of multiphase microfluidic flows, the Multiphase Fluid Volume Model (VOF) is used, which allows the flow to be solved numerically and to observe its behavior through the interfaces between immiscible fluids. Given this, in this work, the VOF model was validated with experimental results, both quantitatively and qualitatively, to predict the entire process of generating drops within microchannels. Additionally, the Adaptive Mesh Refining (AMR) technique was used to better track the interface between the fluid phases. The effects of the microchannel geometry, the physical properties of the fluids and the operating conditions, on the size and rate of droplet generation were evaluated using the multiple regression techniques. A dimensionless correlation was also proposed for the prediction of droplet length in which the relative error was 8.2%. |
publishDate |
2020 |
dc.date.accessioned.fl_str_mv |
2020-03-30T11:11:36Z |
dc.date.issued.fl_str_mv |
2020-02-18 |
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.citation.fl_str_mv |
CHAVES, I. L. Investigação da dinâmica de formação de gotas no interior de microcanais via técnicas de CFD. 2020. 55 f. Dissertação (Mestrado em Engenharia Química) - Universidade Federal de Goiás, Goiânia, 2020. |
dc.identifier.uri.fl_str_mv |
http://repositorio.bc.ufg.br/tede/handle/tede/10472 |
dc.identifier.dark.fl_str_mv |
ark:/38995/0013000009z4w |
identifier_str_mv |
CHAVES, I. L. Investigação da dinâmica de formação de gotas no interior de microcanais via técnicas de CFD. 2020. 55 f. Dissertação (Mestrado em Engenharia Química) - Universidade Federal de Goiás, Goiânia, 2020. ark:/38995/0013000009z4w |
url |
http://repositorio.bc.ufg.br/tede/handle/tede/10472 |
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por |
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por |
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3481496501158460078 |
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600 600 600 600 |
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7826066743741197278 |
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-1848640261096870878 |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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Universidade Federal de Goiás |
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Programa de Pós-graduação em Engenharia Química (IQ) |
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UFG |
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Brasil |
dc.publisher.department.fl_str_mv |
Instituto de Química - IQ (RG) |
publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.source.none.fl_str_mv |
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