Universiti Teknologi Malaysia Institutional Repository

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

Ridzuan Aw., Suzanna and Abdul Rahim, Ruzairi and Mohd. Yunus, Fazlul Rahman and Rahiman, Mohd. Hafiz Fazalul and Abdul Wahab, Yasmin and Azimi, Farah Hanan and Syafie, Lia Safiyah and Mat Tahir, Nurul Huda and Raja Aris, Raja Siti Nur Adiimah and Mohammad Din, Shahrulnizahani (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 December 2020 - 3 December 2020, Paris, Virtual.

[img]
Preview
PDF
821kB

Official URL: http://dx.doi.org/10.1088/1742-6596/1874/1/012077

Abstract

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 (Paper)
Uncontrolled Keywords:electrical resistance tomography, electrode size, industrial flows
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:96220
Deposited By: Yanti Mohd Shah
Deposited On:05 Jul 2022 03:25
Last Modified:05 Jul 2022 03:25

Repository Staff Only: item control page