| 用人工神经网络方法预测鼓泡塔气含率 |
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| 引用本文： | 吴元欣,罗湘华,陈启明,李定或,李世荣,M.H.Al-Dahhan,M.P.Dudukovic.用人工神经网络方法预测鼓泡塔气含率[J].中国化学工程学报,2003,11(2):162-165. |
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| 作者姓名： | 吴元欣 罗湘华 陈启明 李定或 李世荣 M.H.Al-Dahhan M.P.Dudukovic |
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| 作者单位： | [1]DepartmentofChemicalEngineering,WuhanInstitiuteofChemicalTechnology,Wuhan430073,China [2]DepartmentofChemicalEngineering,WashingtonUniversitySt,LouisMO63130,USA |
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| 基金项目： | Supported by the National Natural Science Foundation of China(No.20076036)，and Education Department of Hubei Province. |
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| 摘 要： | A new correlation for the prediction of gas hod 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%.
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| 关 键 词： | 人工神经网络方法 预测 鼓泡塔 气含率 |
| 修稿时间： | |
Prediction of Gas Holdup in Bubble Columns Using Artificial Neural Network |
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| M.H.Al-Dahhan,M.P.Dudukovic.Prediction of Gas Holdup in Bubble Columns Using Artificial Neural Network[J].Chinese Journal of Chemical Engineering,2003,11(2):162-165. |
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| Authors: | MHAl-Dahhan MPDudukovic |
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| Affiliation: | Department of Chemical Engineering, Washington University St. Louis, MO 63130, USA |
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| 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%. |
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| Keywords: | bubble column gas holdup artificial neural network correlations |
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