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Original Articles

Moisture Prediction During Paste Drying in a Spouted Bed

, &
Pages 1808-1816 | Published online: 29 Oct 2013
 

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.

ACKNOWLEDGMENT

The authors express their gratitude to CNPq for the financial support to carry out this research.

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