期刊
DRYING TECHNOLOGY
卷 31, 期 15, 页码 1808-1816出版社
TAYLOR & FRANCIS INC
DOI: 10.1080/07373937.2013.825627
关键词
Modeling; Neural networks; Paste drying; Spouted bed
资金
- CNPq
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.
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