Computational Fluid Dynamics (CFD) Analysis of Mocoffee’s Single-Serve Coffee Capsule System

Detalhes bibliográficos
Autor(a) principal: Cunha, Mónica Patrícia Rodrigues da
Data de Publicação: 2017
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/25380
Resumo: The aim of this work was to apply computational fluid dynamics (CFD) analysis to Mocoffee’s single-serve coffee capsule system in order to predict the hydrodynamics of water inside the extraction chamber, as well as to determine the impact of certain model parameters and design features on the fluid flow and, consequently, on the efficiency of the extraction. The geometries of the extraction chamber of the coffee machine were built using the software Solidworks 2016, while the computational mesh and 3D numeric calculations were done using the software Ansys Fluent 16.0. The experimental data used to validate the CFD model was obtained through a set of extractions of different coffee blends, all of them performed in a custom made machine that replicated the very same extraction process as seen in a Mocoffee patented espresso machine (Bossa). Different turbulence models and near-wall treatments were tested to capture the significant features of the fluid flow, such as mixing and the formation of eddies in the more unstable regions of the domain. The CFD results and measured data from the experiments were compared, with a reasonable agreement found with the experimental data for pressure and mass flow rate, but only for a coffee bed resistance that was higher than its predicted theoretical value.
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spelling Computational Fluid Dynamics (CFD) Analysis of Mocoffee’s Single-Serve Coffee Capsule SystemCFDCoffee extractionEspresso CoffeeMocoffeeModel validationSolidworksDomínio/Área Científica::Engenharia e Tecnologia::Engenharia QuímicaThe aim of this work was to apply computational fluid dynamics (CFD) analysis to Mocoffee’s single-serve coffee capsule system in order to predict the hydrodynamics of water inside the extraction chamber, as well as to determine the impact of certain model parameters and design features on the fluid flow and, consequently, on the efficiency of the extraction. The geometries of the extraction chamber of the coffee machine were built using the software Solidworks 2016, while the computational mesh and 3D numeric calculations were done using the software Ansys Fluent 16.0. The experimental data used to validate the CFD model was obtained through a set of extractions of different coffee blends, all of them performed in a custom made machine that replicated the very same extraction process as seen in a Mocoffee patented espresso machine (Bossa). Different turbulence models and near-wall treatments were tested to capture the significant features of the fluid flow, such as mixing and the formation of eddies in the more unstable regions of the domain. The CFD results and measured data from the experiments were compared, with a reasonable agreement found with the experimental data for pressure and mass flow rate, but only for a coffee bed resistance that was higher than its predicted theoretical value.Lisboa, PedroSimões, PedroRUNCunha, Mónica Patrícia Rodrigues da2020-09-25T00:30:20Z2017-092017-112017-09-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/25380enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:13:19Zoai:run.unl.pt:10362/25380Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:28:16.102999Repositório 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 Computational Fluid Dynamics (CFD) Analysis of Mocoffee’s Single-Serve Coffee Capsule System
title Computational Fluid Dynamics (CFD) Analysis of Mocoffee’s Single-Serve Coffee Capsule System
spellingShingle Computational Fluid Dynamics (CFD) Analysis of Mocoffee’s Single-Serve Coffee Capsule System
Cunha, Mónica Patrícia Rodrigues da
CFD
Coffee extraction
Espresso Coffee
Mocoffee
Model validation
Solidworks
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Química
title_short Computational Fluid Dynamics (CFD) Analysis of Mocoffee’s Single-Serve Coffee Capsule System
title_full Computational Fluid Dynamics (CFD) Analysis of Mocoffee’s Single-Serve Coffee Capsule System
title_fullStr Computational Fluid Dynamics (CFD) Analysis of Mocoffee’s Single-Serve Coffee Capsule System
title_full_unstemmed Computational Fluid Dynamics (CFD) Analysis of Mocoffee’s Single-Serve Coffee Capsule System
title_sort Computational Fluid Dynamics (CFD) Analysis of Mocoffee’s Single-Serve Coffee Capsule System
author Cunha, Mónica Patrícia Rodrigues da
author_facet Cunha, Mónica Patrícia Rodrigues da
author_role author
dc.contributor.none.fl_str_mv Lisboa, Pedro
Simões, Pedro
RUN
dc.contributor.author.fl_str_mv Cunha, Mónica Patrícia Rodrigues da
dc.subject.por.fl_str_mv CFD
Coffee extraction
Espresso Coffee
Mocoffee
Model validation
Solidworks
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Química
topic CFD
Coffee extraction
Espresso Coffee
Mocoffee
Model validation
Solidworks
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Química
description The aim of this work was to apply computational fluid dynamics (CFD) analysis to Mocoffee’s single-serve coffee capsule system in order to predict the hydrodynamics of water inside the extraction chamber, as well as to determine the impact of certain model parameters and design features on the fluid flow and, consequently, on the efficiency of the extraction. The geometries of the extraction chamber of the coffee machine were built using the software Solidworks 2016, while the computational mesh and 3D numeric calculations were done using the software Ansys Fluent 16.0. The experimental data used to validate the CFD model was obtained through a set of extractions of different coffee blends, all of them performed in a custom made machine that replicated the very same extraction process as seen in a Mocoffee patented espresso machine (Bossa). Different turbulence models and near-wall treatments were tested to capture the significant features of the fluid flow, such as mixing and the formation of eddies in the more unstable regions of the domain. The CFD results and measured data from the experiments were compared, with a reasonable agreement found with the experimental data for pressure and mass flow rate, but only for a coffee bed resistance that was higher than its predicted theoretical value.
publishDate 2017
dc.date.none.fl_str_mv 2017-09
2017-11
2017-09-01T00:00:00Z
2020-09-25T00:30:20Z
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 http://hdl.handle.net/10362/25380
url http://hdl.handle.net/10362/25380
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.format.none.fl_str_mv application/pdf
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
instname_str 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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