Prediction of dynamic heat transfer of a 2-D bubble column using ANNs

被引：0
|
作者：
Hasegawa, T [1 ]
Chen, W
Kuramoto, K
Kikuchi, R
Tsutsumi, A
Otawara, K
机构：
[1] Univ Tokyo, Dept Chem Syst Engn, Tokyo 1138656, Japan
[2] Kureha Techno Eng Co, Fukushima 9748232, Japan
来源：
KAGAKU KOGAKU RONBUNSHU | 2001年 / 27卷 / 04期
关键词：
bubble column; heat transfer; artificial neural network; dynamic modeling;
D O I：
10.1252/kakoronbunshu.27.461
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
摘要：
The instantaneous local heat transfer rates in a 2-D bubble column were measured by using a hot -wire probe. An artificial neural network (ANN) was applied. to correlate the fluctuation of heat transfer rates with dynamic motions of bubble and liquid. The optimal structure of the artificial neural network was determined for the prediction of heat transfer rates. The trained ANN model gives a good prediction of dynamic heat transfer with errors of less than 5%.
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页码：461 / 465
页数：5
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