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Optimisation of sensor electrode size for in electrical resistance tomography implementing conducting boundary strategy

Suzanna, Ridzuan Aw and Ruzairi, Abdul Rahim and Fazlul Rahman, Mohd Yunus and Mohd Hafiz, Fazalul Rahiman and Yasmin, Abdul Wahab and Farah Hanan, Azimi and Lia Safiyah, Syafie and Nurul Huda, Mat Tahir and Raja Siti Nur Adiimah, Raja Aris and Shahrulnizahani, Mohammad Din (2021) Optimisation of sensor electrode size for in electrical resistance tomography implementing conducting boundary strategy. In: 1st International Recent Trends in Engineering, Advanced Computing and Technology Conference, RETREAT 2020, 1-3 December 2020 , Paris. pp. 1-11., 1874 (1). ISSN 1742-6588 (print); 1742-6596 (online)

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Electrical Resistance Tomography (ERT), due to its diverse advantages has become a promising technique for monitoring and analysing various industrial flows. In this research, an ERT system employing a conducting bubble column was studied because a majority of industrial processes use metal composites for their columns. This paper presents an approach to obtain the optimum size of electrodes in ERT to maximize the capability of an ERT system. A finite element model using COMSOL software was developed to investigate the effect of the electrode size in ERT on sensing field distribution. By adapting the conducting boundary strategies in COMSOL, wider and longer electrodes reduce the potential change near source, suggesting less current density near source. Besides that, wider and longer electrodes also reduce the potential drop and improve the signal strength in Electrical Resistance Tomography. The optimum size of 12 mm x 100 mm electrode is sufficient for the proposed ERT system using conducting bubble column.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Bubble columns; Electric resistance; Industrial research; Tomography
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Ts. Dr. Yasmin Abdul Wahab
Date Deposited: 26 Aug 2021 12:31
Last Modified: 26 Aug 2021 12:31
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