Moisture prediction during paste drying in a spouted bed

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorNascimento, B. S.-
Autor(es): dc.creatorFreire, F. B.-
Autor(es): dc.creatorFreire, J. T.-
Data de aceite: dc.date.accessioned2026-02-09T11:43:29Z-
Data de disponibilização: dc.date.available2026-02-09T11:43:29Z-
Data de envio: dc.date.issued2017-05-30-
Data de envio: dc.date.issued2017-05-30-
Data de envio: dc.date.issued2013-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/13080-
Fonte completa do material: dc.identifierhttp://www.tandfonline.com/doi/abs/10.1080/07373937.2013.825627-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1146050-
Descrição: dc.descriptionThe 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.-
Idioma: dc.languageen-
Publicador: dc.publisherTaylor & Francis Group-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceDrying Technology-
Palavras-chave: dc.subjectSpouted bed-
Palavras-chave: dc.subjectPaste drying-
Palavras-chave: dc.subjectNeural networks-
Palavras-chave: dc.subjectLeito de jorro-
Palavras-chave: dc.subjectPasta de secagem-
Palavras-chave: dc.subjectRedes neurais-
Título: dc.titleMoisture prediction during paste drying in a spouted bed-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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