Presentation 2003/11/21
Development of Ultrasonic Technique and Neural Network for Phase Holdup and Mass Transfer Measurements in a Bubble Column
M. Dani Supardan, Y. Masuda, A. Maezawa, S. Uchida,
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Abstract(in English) In the past few years, numerous measurement techniques have been developed to determine the hydrodynamic parameters of multiphase system. The present study developed a non-invasive ultrasonic technique and neural network 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 neural network reconstruction. A good agreement of the representative results of the proposed technique with the experimental data shows the validity of the proposed technique.
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Keyword(in English) Gas holdup / Neural Network / Ultrasonic Technique / Mass Transfer Coefficient
Paper # US2003-84
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Committee US
Conference Date 2003/11/21(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Development of Ultrasonic Technique and Neural Network for Phase Holdup and Mass Transfer Measurements in a Bubble Column
Sub Title (in English)
Keyword(1) Gas holdup
Keyword(2) Neural Network
Keyword(3) Ultrasonic Technique
Keyword(4) Mass Transfer Coefficient
1st Author's Name M. Dani Supardan
1st Author's Affiliation Graduate School of Science and Engineering, Shizuoka University()
2nd Author's Name Y. Masuda
2nd Author's Affiliation Department of Materials Science and Chemical Engineering, Shizuoka University
3rd Author's Name A. Maezawa
3rd Author's Affiliation Department of Materials Science and Chemical Engineering, Shizuoka University
4th Author's Name S. Uchida
4th Author's Affiliation Department of Materials Science and Chemical Engineering, Shizuoka University
Date 2003/11/21
Paper # US2003-84
Volume (vol) vol.103
Number (no) 485
Page pp.pp.-
#Pages 6
Date of Issue