Moisture prediction during paste drying in a spouted bed

dc.creator	Nascimento, B. S.
dc.creator	Freire, F. B.
dc.creator	Freire, J. T.
dc.date.accessioned	2017-05-30T18:32:00Z
dc.date.available	2017-05-30T18:32:00Z
dc.date.issued	2013
dc.description.abstract	The 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.identifier.citation	NASCIMENTO, 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.uri	https://repositorio.ufla.br/handle/1/13080
dc.identifier.uri	http://www.tandfonline.com/doi/abs/10.1080/07373937.2013.825627	pt_BR
dc.language	en_US	pt_BR
dc.publisher	Taylor & Francis Group	pt_BR
dc.rights	openAccess	pt_BR
dc.source	Drying Technology	pt_BR
dc.subject	Spouted bed	pt_BR
dc.subject	Paste drying	pt_BR
dc.subject	Neural networks	pt_BR
dc.subject	Leito de jorro	pt_BR
dc.subject	Pasta de secagem	pt_BR
dc.subject	Redes neurais	pt_BR
dc.title	Moisture prediction during paste drying in a spouted bed	pt_BR
dc.type	Artigo	pt_BR

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