CIESC Journal

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用人工神经网络方法预测鼓泡塔气含率

吴元欣; 罗湘华; 陈启明; 李定或; 李世荣; M.H. Al-Dahhan; M.P. Dudukovic   

  1. Department of Chemical Engineering, Washington University St. Louis, MO 63130, USA
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2003-04-28 发布日期:2003-04-28
  • 通讯作者: 吴元欣

Prediction of Gas Holdup in Bubble Columns Using Artificial Neural Network

Wu Yuanxin; Luo Xianghua; Chen Qiming; Li Dinghuo; Li Shirong; M.H. Al-Dahhan; M.P.
Dudukovic   

  1. Department of Chemical Engineering, Washington University St. Louis, MO 63130, USA
  • Received:1900-01-01 Revised:1900-01-01 Online:2003-04-28 Published:2003-04-28
  • Contact: Wu Yuanxin

摘要: A new correlation for the prediction of gas hold up in bubble columns was proposed based on
an extensive experimental database set up from the literature published over last 30 years.
The updated estimation method relying on artificial neural network, dimensional analysis
and phenomenological approaches was used and the model prediction agreed with the
experimental data with average relative error less than 10%.

关键词: bubble column;gas holdup;artificial neural network;correlations

Abstract: A new correlation for the prediction of gas hold up in bubble columns was proposed based on
an extensive experimental database set up from the literature published over last 30 years.
The updated estimation method relying on artificial neural network, dimensional analysis
and phenomenological approaches was used and the model prediction agreed with the
experimental data with average relative error less than 10%.

Key words: bubble column, gas holdup, artificial neural network, correlations