Parametric geometry optimization of an ejector for compression.

Detalhes bibliográficos
Autor(a) principal: Lívia Bueno Reis
Data de Publicação: 2021
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.3.2021.tde-23092021-111212
Resumo: Ejectors have wide industrial application and the improvement in their efficiency is sought to increase the viability of their use. This study performs the optimization of the entire geometry of a liquid jet liquid (LJL) ejector with multiple parameters to maximize energy efficiency. The approach with multiple parameters allows to identify key geometrical features and interdependent parameters, like nozzle position and mixing chamber length, with respect to performance. Computational fluid dynamics (CFD) and optimization simulations were performed to optimize the parameters of Bézier curves that characterize the device\'s geometry. The optimization results showed that the ejector efficiency curve is sensitive to the nozzle and the suction chamber geometries. Simulations that consider the nozzle diameter and the nozzle position along ejector axis (NXP) as parameters of the optimization process resulted in higher efficiency values than those that kept these parameters fixed. The optimization of the diffuser curve, including the diameter of the diffuser and the length of the mixing chamber, also contributed to increase the efficiency of the device. It was observed that the increase in the length of the mixing chamber and the spacing of the nozzle imply similar effects in the efficiency and in the pressure, velocity and energy dissipation rate profiles confirming some correlation of these parameters on the performance. One may observe the effect of geometry modification through optimization on the flow profiles in key sections of the ejector: the flow profiles in the optimized geometry tend to be more homogenous, hence less dissipative, and it is also confirmed by local energy dissipation rate.
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spelling info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis Parametric geometry optimization of an ejector for compression. Otimização paramétrica de geometria de um ejetor para compressão. 2021-05-06Rafael dos Santos GioriaDaiane Iglesia DolciIvan KorkischkoLívia Bueno ReisUniversidade de São PauloEngenharia MineralUSPBR Computational fluid dynamics Dinâmica de fluidos computacional Ejector Ejetor Otimização de forma Otimização paramétrica de geometria Parametric geometry optimization Shape optimization Ejectors have wide industrial application and the improvement in their efficiency is sought to increase the viability of their use. This study performs the optimization of the entire geometry of a liquid jet liquid (LJL) ejector with multiple parameters to maximize energy efficiency. The approach with multiple parameters allows to identify key geometrical features and interdependent parameters, like nozzle position and mixing chamber length, with respect to performance. Computational fluid dynamics (CFD) and optimization simulations were performed to optimize the parameters of Bézier curves that characterize the device\'s geometry. The optimization results showed that the ejector efficiency curve is sensitive to the nozzle and the suction chamber geometries. Simulations that consider the nozzle diameter and the nozzle position along ejector axis (NXP) as parameters of the optimization process resulted in higher efficiency values than those that kept these parameters fixed. The optimization of the diffuser curve, including the diameter of the diffuser and the length of the mixing chamber, also contributed to increase the efficiency of the device. It was observed that the increase in the length of the mixing chamber and the spacing of the nozzle imply similar effects in the efficiency and in the pressure, velocity and energy dissipation rate profiles confirming some correlation of these parameters on the performance. One may observe the effect of geometry modification through optimization on the flow profiles in key sections of the ejector: the flow profiles in the optimized geometry tend to be more homogenous, hence less dissipative, and it is also confirmed by local energy dissipation rate. Os ejetores possuem ampla aplicação industrial e as melhorias em sua eficiência buscam aumentar a viabilidade de seu uso. Este estudo realiza a otimização de toda a geometria de um ejetor de líquido (Liquid jet liquid - LJL) com múltiplos parâmetros para maximizar a eficiência energética. A abordagem com vários parâmetros permite identificar as principais características geométricas e parâmetros interdependentes, como a posição do bocal e o comprimento da câmara de mistura, que influenciam no desempenho do ejetor. Dinâmica de fluidos computacional (CFD) e simulações de otimização foram realizadas para otimizar os parâmetros das curvas de Bézier que caracterizam a geometria do dispositivo. Os resultados da otimização mostraram que a curva de eficiência do ejetor é sensível às geometrias do bocal e da câmara de sucção. Simulações que consideram o diâmetro do bocal e a sua posição ao longo do eixo do ejetor (NXP) como parâmetros do processo de otimização resultaram em valores de eficiência superiores aos que mantiveram esses parâmetros fixos. A otimização da curva do difusor, incluindo o diâmetro do difusor e o comprimento da câmara de mistura, também contribuiu para aumentar a eficiência do dispositivo. Observou-se que o aumento do comprimento da câmara de mistura e do espaçamento entre bocal e câmara de mistura implicam em efeitos semelhantes na eficiência e nos perfis de pressão, velocidade e taxa de dissipação de energia, confirmando alguma correlação desses parâmetros no desempenho. Pode-se observar o efeito da modificação da geometria por meio da otimização nos perfis de fluxo em seções-chave do ejetor: os perfis de fluxo na geometria otimizada tendem a ser mais homogêneos, portanto, menos dissipativos. Isto também é confirmado pelos campos de taxa de dissipação de energia local. https://doi.org/10.11606/D.3.2021.tde-23092021-111212info:eu-repo/semantics/openAccessengreponame:Biblioteca Digital de Teses e Dissertações da USPinstname:Universidade de São Paulo (USP)instacron:USP2023-12-21T19:59:44Zoai:teses.usp.br:tde-23092021-111212Biblioteca 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:27212023-12-22T13:12:27.635308Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP)false
dc.title.en.fl_str_mv Parametric geometry optimization of an ejector for compression.
dc.title.alternative.pt.fl_str_mv Otimização paramétrica de geometria de um ejetor para compressão.
title Parametric geometry optimization of an ejector for compression.
spellingShingle Parametric geometry optimization of an ejector for compression.
Lívia Bueno Reis
title_short Parametric geometry optimization of an ejector for compression.
title_full Parametric geometry optimization of an ejector for compression.
title_fullStr Parametric geometry optimization of an ejector for compression.
title_full_unstemmed Parametric geometry optimization of an ejector for compression.
title_sort Parametric geometry optimization of an ejector for compression.
author Lívia Bueno Reis
author_facet Lívia Bueno Reis
author_role author
dc.contributor.advisor1.fl_str_mv Rafael dos Santos Gioria
dc.contributor.referee1.fl_str_mv Daiane Iglesia Dolci
dc.contributor.referee2.fl_str_mv Ivan Korkischko
dc.contributor.author.fl_str_mv Lívia Bueno Reis
contributor_str_mv Rafael dos Santos Gioria
Daiane Iglesia Dolci
Ivan Korkischko
description Ejectors have wide industrial application and the improvement in their efficiency is sought to increase the viability of their use. This study performs the optimization of the entire geometry of a liquid jet liquid (LJL) ejector with multiple parameters to maximize energy efficiency. The approach with multiple parameters allows to identify key geometrical features and interdependent parameters, like nozzle position and mixing chamber length, with respect to performance. Computational fluid dynamics (CFD) and optimization simulations were performed to optimize the parameters of Bézier curves that characterize the device\'s geometry. The optimization results showed that the ejector efficiency curve is sensitive to the nozzle and the suction chamber geometries. Simulations that consider the nozzle diameter and the nozzle position along ejector axis (NXP) as parameters of the optimization process resulted in higher efficiency values than those that kept these parameters fixed. The optimization of the diffuser curve, including the diameter of the diffuser and the length of the mixing chamber, also contributed to increase the efficiency of the device. It was observed that the increase in the length of the mixing chamber and the spacing of the nozzle imply similar effects in the efficiency and in the pressure, velocity and energy dissipation rate profiles confirming some correlation of these parameters on the performance. One may observe the effect of geometry modification through optimization on the flow profiles in key sections of the ejector: the flow profiles in the optimized geometry tend to be more homogenous, hence less dissipative, and it is also confirmed by local energy dissipation rate.
publishDate 2021
dc.date.issued.fl_str_mv 2021-05-06
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.3.2021.tde-23092021-111212
url https://doi.org/10.11606/D.3.2021.tde-23092021-111212
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 Engenharia Mineral
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
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