Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/101701
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dc.contributor.CRUESPUNIVERSIDADE DE ESTADUAL DE CAMPINASpt_BR
dc.identifier.isbnpt
dc.typeArtigo de eventopt_BR
dc.titleFreeze Drying Process: Real Time Modelpt_BR
dc.contributor.authorBoss E.A.pt_BR
dc.contributor.authorFilho II R.M.pt_BR
dc.contributor.authorDe Toledo III E.C.V.pt_BR
unicamp.authorBoss, E.A., Lab. Optimization, Des./Adv. Contr., Chemical Engineering Faculty, University of Campinas-UNICAMP, CP: 6066, Brazilpt_BR
unicamp.authorFilho II, R.M., Lab. Optimization Des./Adv. Contr., Chemical Engineering Faculty, State University of Campinas-UNICAMP, CP: 6066, Brazilpt_BR
unicamp.authorDe Toledo III, E.C.V., Lab. Optimization Des./Adv. Contr., Chemical Engineering Faculty, State University of Campinas-UNICAMP, CP: 6066, Brazilpt_BR
dc.description.abstractFreeze drying is a separation process based on the sublimation phenomenon. This process has the following advantages: the material structure is maintained, moisture is removed at low temperature (reduce transport rates), increase the product stability during the stab, the fast transition moisturized to be dehydrated minimizes several degradation reaction. A mathematical model based on fundamental mass and energy balance equations have been developed, based in an existent model (LIAPIS & SADIKOGLU, 1997), and used to know the amount of water removed and amount of residual water. The developed model contains the freeze drying equations, which are solved by orthogonal collocation and polynomial approximation - Jacobi method. The results show that the dynamic mathematical model represents well the process. The model allows for extensive simulation to be made, so that it was possible to observe which are the design as well as operational variables with more significantly impact the system behavior. Due to the relatively large number of variables it was necessary to submit the process to an initial screening design The methodology of Plackett-Burman is a tool for this initial screening, since it makes possible to determine the influence of various factors with only a small number of trials, instead of using more extensive factorial design, which would furnish more complete information, but which involve unfeasible complexity. Using the method of factorial design it is possible to determine statistical models and acquire additional knowledge about the process, that is important for process control. The statistical equations are a good and simple option to obtain quickly answers easy to use models, however fully deterministic models could be used in the complex works of design and scale-up of the process.en
dc.relation.ispartofISA TECH/EXPO Technology Update Conference Proceedingspt_BR
dc.publisherpt_BR
dc.date.issued2002pt_BR
dc.identifier.citationIsa Tech/expo Technology Update Conference Proceedings. , v. 424-425, n. , p. 1182 - 1193, 2002.pt_BR
dc.language.isoenpt_BR
dc.description.volume424-425pt_BR
dc.description.issuenumberpt_BR
dc.description.initialpage1182pt_BR
dc.description.lastpage1193pt_BR
dc.rightsfechadopt_BR
dc.sourceScopuspt_BR
dc.identifier.issn10540032pt_BR
dc.identifier.doipt_BR
dc.identifier.urlhttp://www.scopus.com/inward/record.url?eid=2-s2.0-1642446594&partnerID=40&md5=40d41ff294aebad93e6e781ef0f7b0bept_BR
dc.date.available2015-06-30T16:42:49Z
dc.date.available2015-11-26T15:33:34Z-
dc.date.accessioned2015-06-30T16:42:49Z
dc.date.accessioned2015-11-26T15:33:34Z-
dc.description.provenanceMade available in DSpace on 2015-06-30T16:42:49Z (GMT). No. of bitstreams: 0 Previous issue date: 2002en
dc.description.provenanceMade available in DSpace on 2015-11-26T15:33:34Z (GMT). No. of bitstreams: 0 Previous issue date: 2002en
dc.identifier.urihttp://www.repositorio.unicamp.br/handle/REPOSIP/101701
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/101701-
dc.identifier.idScopus2-s2.0-1642446594pt_BR
dc.description.referenceGloor, P.J., Crosser, O.K., Liapis, A.I., Dusty-Gas parameters of activate carbon desorbent particles (1987) Chemical Engineering Communications, 59, pp. 95-105pt_BR
dc.description.referenceLiapis, A.I., Sadikoglu, H., Mathematical Modeling of the Primary and Secondary Drying Stages of Bulk Solution Freeze-Drying in Trays: Parameter Estimation and Model Discrimination by Comparison of the Theoretical Results with Experimental Data (1997) Drying Technology, 15 (3-4), pp. 791-810. , Missouript_BR
dc.description.referenceLiapis, A.I., Bruttini, R., A theory for the primary and secondary drying Stages of the freeze-drying of the pharnaceutical crystalline and amorphous solutes: Comparison between experimental data and theory (1994) Separation Technology, 4, pp. 144-155. , Missouri, Julpt_BR
dc.description.referenceLichtfield, R.J., Liapis, A.I., An absoption-sublimation model for a freeze dryer (1979) Chemical Engineering Science, 34 (9), pp. 1085-1090. , Great Britainpt_BR
dc.description.referenceMillman, M.J., Liapis, A.I., Marchello, J.M., An Analysis of the Lyophilization Process Using a Sorption-Sublimation Model and Various Operational Policies (1985) AIChE Journal, 31 (10), pp. 1594-1604. , Missouri, Octpt_BR
Appears in Collections:Unicamp - Artigos e Outros Documentos

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