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

页码：1808 / 1816

页数：9

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