Statistical tool combined with image analysis to characterize hydrodynamics and mass transfer in a bubble column

Bibliographic Details
Main Author: Ferreira, A. M. A.
Publication Date: 2012
Other Authors: Pereira, G., Teixeira, J. A., Rocha, F. A.
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/1822/16699
Summary: Image analysis technique has been proved to be very effective in the quantification of particles size and morphology distributions in different work areas. In the present work this technique was combined with the discriminant factorial analysis (DFA) in order to allow the automatic identification of single bubbles (isolated bubbles without influence of surrounded bubbles) in multiphase systems. With the previous methodology it has been possible to distinguish online and automatically among three different classes of bubbles (single bubbles and medium complexity and large complexity bubbles groups), allowing for the first time the computation of the local bubble population complexity in the system. The automatic and correct characterization of the single bubbles allowed the correct determination of bubble size and, consequently, the specific interfacial area a at different experimental conditions. Agreement between automated and manual classification, measured in terms of a performance index, is 98% for single bubbles identification. Further, the present work describes the application of such methodology to the study of temperature, type of gas sparger, and liquid phase properties (viscosity and surface tension) influence on the individual components of volumetric liquid side mass transfer coefficient, kLa. The results show that the different experimental parameters and liquid properties act by a particular way on kL and a.
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spelling Statistical tool combined with image analysis to characterize hydrodynamics and mass transfer in a bubble columnBubble columnMass transferMultiphase reactorsHydrodynamicsImage analysisScience & TechnologyImage analysis technique has been proved to be very effective in the quantification of particles size and morphology distributions in different work areas. In the present work this technique was combined with the discriminant factorial analysis (DFA) in order to allow the automatic identification of single bubbles (isolated bubbles without influence of surrounded bubbles) in multiphase systems. With the previous methodology it has been possible to distinguish online and automatically among three different classes of bubbles (single bubbles and medium complexity and large complexity bubbles groups), allowing for the first time the computation of the local bubble population complexity in the system. The automatic and correct characterization of the single bubbles allowed the correct determination of bubble size and, consequently, the specific interfacial area a at different experimental conditions. Agreement between automated and manual classification, measured in terms of a performance index, is 98% for single bubbles identification. Further, the present work describes the application of such methodology to the study of temperature, type of gas sparger, and liquid phase properties (viscosity and surface tension) influence on the individual components of volumetric liquid side mass transfer coefficient, kLa. The results show that the different experimental parameters and liquid properties act by a particular way on kL and a.This work was supported by Fundacao para a Ciencia e Tecnologia under program contract number SFRH/BPD/45637/2008.ElsevierUniversidade do MinhoFerreira, A. M. A.Pereira, G.Teixeira, J. A.Rocha, F. A.20122012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/16699eng1385-894710.1016/j.cej.2011.09.117info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-12T04:55:38Zoai:repositorium.sdum.uminho.pt:1822/16699Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:47:24.198941Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Statistical tool combined with image analysis to characterize hydrodynamics and mass transfer in a bubble column
title Statistical tool combined with image analysis to characterize hydrodynamics and mass transfer in a bubble column
spellingShingle Statistical tool combined with image analysis to characterize hydrodynamics and mass transfer in a bubble column
Ferreira, A. M. A.
Bubble column
Mass transfer
Multiphase reactors
Hydrodynamics
Image analysis
Science & Technology
title_short Statistical tool combined with image analysis to characterize hydrodynamics and mass transfer in a bubble column
title_full Statistical tool combined with image analysis to characterize hydrodynamics and mass transfer in a bubble column
title_fullStr Statistical tool combined with image analysis to characterize hydrodynamics and mass transfer in a bubble column
title_full_unstemmed Statistical tool combined with image analysis to characterize hydrodynamics and mass transfer in a bubble column
title_sort Statistical tool combined with image analysis to characterize hydrodynamics and mass transfer in a bubble column
author Ferreira, A. M. A.
author_facet Ferreira, A. M. A.
Pereira, G.
Teixeira, J. A.
Rocha, F. A.
author_role author
author2 Pereira, G.
Teixeira, J. A.
Rocha, F. A.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Ferreira, A. M. A.
Pereira, G.
Teixeira, J. A.
Rocha, F. A.
dc.subject.por.fl_str_mv Bubble column
Mass transfer
Multiphase reactors
Hydrodynamics
Image analysis
Science & Technology
topic Bubble column
Mass transfer
Multiphase reactors
Hydrodynamics
Image analysis
Science & Technology
description Image analysis technique has been proved to be very effective in the quantification of particles size and morphology distributions in different work areas. In the present work this technique was combined with the discriminant factorial analysis (DFA) in order to allow the automatic identification of single bubbles (isolated bubbles without influence of surrounded bubbles) in multiphase systems. With the previous methodology it has been possible to distinguish online and automatically among three different classes of bubbles (single bubbles and medium complexity and large complexity bubbles groups), allowing for the first time the computation of the local bubble population complexity in the system. The automatic and correct characterization of the single bubbles allowed the correct determination of bubble size and, consequently, the specific interfacial area a at different experimental conditions. Agreement between automated and manual classification, measured in terms of a performance index, is 98% for single bubbles identification. Further, the present work describes the application of such methodology to the study of temperature, type of gas sparger, and liquid phase properties (viscosity and surface tension) influence on the individual components of volumetric liquid side mass transfer coefficient, kLa. The results show that the different experimental parameters and liquid properties act by a particular way on kL and a.
publishDate 2012
dc.date.none.fl_str_mv 2012
2012-01-01T00:00:00Z
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 https://hdl.handle.net/1822/16699
url https://hdl.handle.net/1822/16699
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1385-8947
10.1016/j.cej.2011.09.117
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.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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