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http://repositorio.ufla.br/jspui/handle/1/13080| Título: | Moisture prediction during paste drying in a spouted bed |
| Palavras-chave: | Spouted bed Paste drying Neural networks Leito de jorro Pasta de secagem Redes neurais |
| Data do documento: | 2013 |
| Editor: | Taylor & Francis Group |
| Citação: | 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. |
| Resumo: | 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. |
| URI: | http://www.tandfonline.com/doi/abs/10.1080/07373937.2013.825627 http://repositorio.ufla.br/jspui/handle/1/13080 |
| Aparece nas coleções: | DCA - Artigos publicados em periódicos |
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