Local gas holdup measurement of a bubble column using SONIA-ultrasonic non-invasive method

Muhammad Rahmat Widyanto; Marsudi B. Utomo; Kazuhiko Kawamoto; Benyamin Kusumo Putro; Kaoru Hirota

doi:10.1016/j.sna.2005.10.021

Local gas holdup measurement of a bubble column using SONIA-ultrasonic non-invasive method

Muhammad Rahmat Widyanto, Marsudi B. Utomo, Kazuhiko Kawamoto, Benyamin Kusumo Putro, Kaoru Hirota

Research output: Contribution to journal › Article › peer-review

12 Citations (Scopus)

Abstract

A non-invasive technique for local gas holdup measurement of a bubble column using Self-Organized Network inspired by Immune Algorithm (SONIA) neural network and ultrasonic method is investigated. The energy attenuation and the transmission time difference of ultrasound are used as measurement parameters to obtain the local gas holdup in an air-water dispersion system using SONIA neural network reconstruction. Bubble size distributions in the bubble column are obtained by using a photographic method. The experimental results and simulations on three different mean bubble size condition show that the errors of SONIA neural network method is 1/9 times lower than those of the conventional back-propagation neural network. The results show a good agreement with measured data.

Original language	English
Pages (from-to)	447-454
Number of pages	8
Journal	Sensors and Actuators, A: Physical
Volume	126
Issue number	2
DOIs	https://doi.org/10.1016/j.sna.2005.10.021
Publication status	Published - 14 Feb 2006

Keywords

Local gas holdup
Neural network
Ultrasonic non-invasive method

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10.1016/j.sna.2005.10.021

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title = "Local gas holdup measurement of a bubble column using SONIA-ultrasonic non-invasive method",

abstract = "A non-invasive technique for local gas holdup measurement of a bubble column using Self-Organized Network inspired by Immune Algorithm (SONIA) neural network and ultrasonic method is investigated. The energy attenuation and the transmission time difference of ultrasound are used as measurement parameters to obtain the local gas holdup in an air-water dispersion system using SONIA neural network reconstruction. Bubble size distributions in the bubble column are obtained by using a photographic method. The experimental results and simulations on three different mean bubble size condition show that the errors of SONIA neural network method is 1/9 times lower than those of the conventional back-propagation neural network. The results show a good agreement with measured data.",

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AU - Widyanto, Muhammad Rahmat

AU - Utomo, Marsudi B.

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AU - Putro, Benyamin Kusumo

AU - Hirota, Kaoru

PY - 2006/2/14

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AB - A non-invasive technique for local gas holdup measurement of a bubble column using Self-Organized Network inspired by Immune Algorithm (SONIA) neural network and ultrasonic method is investigated. The energy attenuation and the transmission time difference of ultrasound are used as measurement parameters to obtain the local gas holdup in an air-water dispersion system using SONIA neural network reconstruction. Bubble size distributions in the bubble column are obtained by using a photographic method. The experimental results and simulations on three different mean bubble size condition show that the errors of SONIA neural network method is 1/9 times lower than those of the conventional back-propagation neural network. The results show a good agreement with measured data.

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Local gas holdup measurement of a bubble column using SONIA-ultrasonic non-invasive method

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Keywords

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