Moisture Prediction During Paste Drying in a Spouted Bed

被引：13
|
作者：
Nascimento, B. S. [1 ]
Freire, F. B. [1 ]
Freire, J. T. [1 ]
机构：
[1] Univ Fed Sao Carlos, Dept Chem Engn, Drying Ctr Pastes Suspens & Seeds, BR-13565905 Sao Carlos, SP, Brazil
来源：
DRYING TECHNOLOGY | 2013年 / 31卷 / 15期
关键词：
Modeling; Neural networks; Paste drying; Spouted bed; INERT PARTICLES; NEURAL-NETWORK; FLUIDIZED-BED; WET PARTICLES; DRYER; MODEL; PERFORMANCE; SUSPENSIONS; BEHAVIOR; EXTRACT;
D O I：
10.1080/07373937.2013.825627
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
摘要：
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.
引用
收藏
页码：1808 / 1816
页数：9
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