Modelling sugar crystallization including morphology quantification

Detalhes bibliográficos
Autor(a) principal: F. Rocha
Data de Publicação: 2004
Outros Autores: S. Feyo de Azevedo, N. Faria, M. N. Pons
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/69595
Resumo: An image analysis technique developed by the authors allows the quantification of the morphology of sugar crystals, namely its agglomeration degree. In this work, this technique is used to validate a model for sugar crystallisation in a laboratory batch crystalliser. The validation data includes the on-line measurements of the sugar contents in the solution and the system temperature. The distributions of the crystal population size and of the degree of agglomeration are used as final validation data. The model considers crystal growth, nucleation and agglomeration.
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spelling Modelling sugar crystallization including morphology quantificationEngenharia química, Engenharia químicaChemical engineering, Chemical engineeringAn image analysis technique developed by the authors allows the quantification of the morphology of sugar crystals, namely its agglomeration degree. In this work, this technique is used to validate a model for sugar crystallisation in a laboratory batch crystalliser. The validation data includes the on-line measurements of the sugar contents in the solution and the system temperature. The distributions of the crystal population size and of the degree of agglomeration are used as final validation data. The model considers crystal growth, nucleation and agglomeration.20042004-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/69595engF. RochaS. Feyo de AzevedoN. FariaM. N. Ponsinfo: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:RCAAP2023-11-29T14:35:30Zoai:repositorio-aberto.up.pt:10216/69595Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:04:39.452719Repositório 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 Modelling sugar crystallization including morphology quantification
title Modelling sugar crystallization including morphology quantification
spellingShingle Modelling sugar crystallization including morphology quantification
F. Rocha
Engenharia química, Engenharia química
Chemical engineering, Chemical engineering
title_short Modelling sugar crystallization including morphology quantification
title_full Modelling sugar crystallization including morphology quantification
title_fullStr Modelling sugar crystallization including morphology quantification
title_full_unstemmed Modelling sugar crystallization including morphology quantification
title_sort Modelling sugar crystallization including morphology quantification
author F. Rocha
author_facet F. Rocha
S. Feyo de Azevedo
N. Faria
M. N. Pons
author_role author
author2 S. Feyo de Azevedo
N. Faria
M. N. Pons
author2_role author
author
author
dc.contributor.author.fl_str_mv F. Rocha
S. Feyo de Azevedo
N. Faria
M. N. Pons
dc.subject.por.fl_str_mv Engenharia química, Engenharia química
Chemical engineering, Chemical engineering
topic Engenharia química, Engenharia química
Chemical engineering, Chemical engineering
description An image analysis technique developed by the authors allows the quantification of the morphology of sugar crystals, namely its agglomeration degree. In this work, this technique is used to validate a model for sugar crystallisation in a laboratory batch crystalliser. The validation data includes the on-line measurements of the sugar contents in the solution and the system temperature. The distributions of the crystal population size and of the degree of agglomeration are used as final validation data. The model considers crystal growth, nucleation and agglomeration.
publishDate 2004
dc.date.none.fl_str_mv 2004
2004-01-01T00:00:00Z
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url https://hdl.handle.net/10216/69595
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