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dc.creatorNascimento, B. S.-
dc.creatorFreire, F. B.-
dc.creatorFreire, J. T.-
dc.date.accessioned2017-05-30T18:32:00Z-
dc.date.available2017-05-30T18:32:00Z-
dc.date.issued2013-
dc.identifier.citationNASCIMENTO, B. S.; FREIRE, F. B.; FREIRE, J. T. Moisture prediction during paste drying in a spouted bed. Drying Technology, New York, v. 31, n. 15, p. 1808-1816, 2013.pt_BR
dc.identifier.urihttp://www.tandfonline.com/doi/abs/10.1080/07373937.2013.825627pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/13080-
dc.description.abstractThe objective of this work was to derive and experimentally verify a hybrid CST/neural network model to determine the moisture content of the powders produced during paste drying in a spouted bed and describe the highly coupled heat and the mass transfer. The model was derived from overall energy and mass balances with effective drying kinetics given by a neural network. Simulations were performed in MatLab and drying experiments for model verification were carried out for different pastes in a conical, semi-pilot-scale spouted bed.pt_BR
dc.languageen_USpt_BR
dc.publisherTaylor & Francis Grouppt_BR
dc.rightsrestrictAccesspt_BR
dc.sourceDrying Technologypt_BR
dc.subjectSpouted bedpt_BR
dc.subjectPaste dryingpt_BR
dc.subjectNeural networkspt_BR
dc.subjectLeito de jorropt_BR
dc.subjectPasta de secagempt_BR
dc.subjectRedes neuraispt_BR
dc.titleMoisture prediction during paste drying in a spouted bedpt_BR
dc.typeArtigopt_BR
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