Journal
DRYING TECHNOLOGY
Volume 31, Issue 15, Pages 1808-1816Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/07373937.2013.825627
Keywords
Modeling; Neural networks; Paste drying; Spouted bed
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Funding
- CNPq
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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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