Local Gas Holdup and Mass Transfer in a Bubble Column Using an Ultrasonic Technique and a Neural Network
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- Supardan Muhammad Dani
- Graduate School of Science and Engineering, Shizuoka University
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- Masuda Yoshifumi
- Graduate School of Science and Engineering, Shizuoka University
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- Maezawa Akinori
- Department of Materials Science and Chemical Engineering, Shizuoka University
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- Uchida Shigeo
- Department of Materials Science and Chemical Engineering, Shizuoka University
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Abstract
The gas holdup and the volumetric mass transfer coefficient are very important parameters for mass transfer operation in bubble columns. These parameters have been major subjects for many researches for a long time. In this study, a novel technique of ultrasonics and neural network has been proposed to determine the local gas holdup and the volumetric mass transfer coefficient in a two-dimensional bubble column simultaneously. The measurement parameters of the energy attenuation and the time shift difference of ultrasound are used to obtain the local gas holdup and the volumetric mass transfer coefficient in dispersed systems of air–water and air–glycerol solution using the neural network reconstruction. In the range studied, the representative results of the proposed technique show a good agreement with the experimental data.
Journal
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- JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
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JOURNAL OF CHEMICAL ENGINEERING OF JAPAN 37 (8), 927-932, 2004
The Society of Chemical Engineers, Japan
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Details 詳細情報について
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- CRID
- 1390001204568656896
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- NII Article ID
- 10013537311
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- NII Book ID
- AA00709658
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- ISSN
- 18811299
- 00219592
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- NDL BIB ID
- 7051327
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed