Application of Optical Tomography for Monitoring Gas Bubbles Flow Based on Independent Component Analysis Algorithm

Authors

  • Mohd Taufiq Mohd Khairi Control and Mechatronics Engineering Department, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Sallehuddin Ibrahim Control and Mechatronics Engineering Department, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Mohd Amri Md Yunus Control and Mechatronics Engineering Department, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Mahdi Faramarzia Control and Mechatronics Engineering Department, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Nor Muzakkir Nor Ayub Control and Mechatronics Engineering Department, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia

DOI:

https://doi.org/10.11113/jt.v73.4260

Keywords:

Optical tomography, fan beam projection, turbidity level, Independent component analysis

Abstract

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.     

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Published

2015-03-18

How to Cite

Application of Optical Tomography for Monitoring Gas Bubbles Flow Based on Independent Component Analysis Algorithm. (2015). Jurnal Teknologi, 73(3). https://doi.org/10.11113/jt.v73.4260