Application of optical tomography for monitoring gas bubbles flow based on independent component analysis algorithm

This paper presents the monitoring process of gas bubbles flow in water using an optical tomography system. The system is aided by an Independent Component Analysis (ICA) algorithm for distinguishing the gas bubbles in pure water. The optical attenuation model is implemented for studying the light t...

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Main Authors: Mohd. Khairi, Mohd. Taufiq, Ibrahim, Sallehuddin, Mohd. Yunus, Mohd. Amri, Faramarzi, Mahdi, Nur Ayub, Nor Muzakkir
Format: Article
Language:English
Published: Penerbit UTM Press 2015
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Online Access:http://eprints.utm.my/id/eprint/57870/1/SallehuddinIbrahim2015_%20ApplicationofOpticalTomographyforMonitoringGasBubbles.pdf
http://eprints.utm.my/id/eprint/57870/
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Institution: Universiti Teknologi Malaysia
Language: English
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spelling my.utm.578702021-10-11T03:10:30Z http://eprints.utm.my/id/eprint/57870/ Application of optical tomography for monitoring gas bubbles flow based on independent component analysis algorithm Mohd. Khairi, Mohd. Taufiq Ibrahim, Sallehuddin Mohd. Yunus, Mohd. Amri Faramarzi, Mahdi Nur Ayub, Nor Muzakkir TJ Mechanical engineering and machinery This paper presents the monitoring process of gas bubbles flow in water using an optical tomography system. The system is aided by an Independent Component Analysis (ICA) algorithm for distinguishing the gas bubbles in pure water. The optical attenuation model is implemented for studying the light transmissions to different media which is water and air. Several quantities of air are inserted using an air pump which is installed at the bottom of a flow pipe in order to produce the gas bubbles flow upwards. The quantity of air is controlled by using a valve and five types of bubble flow are investigated; a single bubble flow, double bubble’s flow, 25% of air opening, 50% of air opening and 100% of air opening. The concentration profiles of the gas bubble flow are constructed. The concentration profile obtained from the experiments shows that the ICA algorithm can be used as a tool for imaging the two-phase flow phase distribution. Penerbit UTM Press 2015 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/57870/1/SallehuddinIbrahim2015_%20ApplicationofOpticalTomographyforMonitoringGasBubbles.pdf Mohd. Khairi, Mohd. Taufiq and Ibrahim, Sallehuddin and Mohd. Yunus, Mohd. Amri and Faramarzi, Mahdi and Nur Ayub, Nor Muzakkir (2015) Application of optical tomography for monitoring gas bubbles flow based on independent component analysis algorithm. Jurnal Teknologi, 73 (3). pp. 145-152. ISSN 0127-9696
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Mohd. Khairi, Mohd. Taufiq
Ibrahim, Sallehuddin
Mohd. Yunus, Mohd. Amri
Faramarzi, Mahdi
Nur Ayub, Nor Muzakkir
Application of optical tomography for monitoring gas bubbles flow based on independent component analysis algorithm
description This paper presents the monitoring process of gas bubbles flow in water using an optical tomography system. The system is aided by an Independent Component Analysis (ICA) algorithm for distinguishing the gas bubbles in pure water. The optical attenuation model is implemented for studying the light transmissions to different media which is water and air. Several quantities of air are inserted using an air pump which is installed at the bottom of a flow pipe in order to produce the gas bubbles flow upwards. The quantity of air is controlled by using a valve and five types of bubble flow are investigated; a single bubble flow, double bubble’s flow, 25% of air opening, 50% of air opening and 100% of air opening. The concentration profiles of the gas bubble flow are constructed. The concentration profile obtained from the experiments shows that the ICA algorithm can be used as a tool for imaging the two-phase flow phase distribution.
format Article
author Mohd. Khairi, Mohd. Taufiq
Ibrahim, Sallehuddin
Mohd. Yunus, Mohd. Amri
Faramarzi, Mahdi
Nur Ayub, Nor Muzakkir
author_facet Mohd. Khairi, Mohd. Taufiq
Ibrahim, Sallehuddin
Mohd. Yunus, Mohd. Amri
Faramarzi, Mahdi
Nur Ayub, Nor Muzakkir
author_sort Mohd. Khairi, Mohd. Taufiq
title Application of optical tomography for monitoring gas bubbles flow based on independent component analysis algorithm
title_short Application of optical tomography for monitoring gas bubbles flow based on independent component analysis algorithm
title_full Application of optical tomography for monitoring gas bubbles flow based on independent component analysis algorithm
title_fullStr Application of optical tomography for monitoring gas bubbles flow based on independent component analysis algorithm
title_full_unstemmed Application of optical tomography for monitoring gas bubbles flow based on independent component analysis algorithm
title_sort application of optical tomography for monitoring gas bubbles flow based on independent component analysis algorithm
publisher Penerbit UTM Press
publishDate 2015
url http://eprints.utm.my/id/eprint/57870/1/SallehuddinIbrahim2015_%20ApplicationofOpticalTomographyforMonitoringGasBubbles.pdf
http://eprints.utm.my/id/eprint/57870/
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