Optimizing Invasive ECT sensor dimensions for conducting pipe: A simulation study

This simulation study aims to optimize the dimensions of an invasive Electrical Capacitance Tomography (ECT) sensor for conducting pipe applications. Conventional non-invasive ECT techniques are ineffective for conducting pipes, as they cannot penetrate the pipe wall. This study explores the use of...

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Main Authors: Ain Eazriena, Che Man, Yasmin, Abdul Wahab, Nurhafizah, Abu Talip Yusof, Suzanna, Ridzuan Aw, Mohd Mawardi, Saari, Ruzairi, Abdul Rahim, Yu, Sia Yee
Format: Article
Language:English
Published: Arqii Publication 2025
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/44477/
http://umpir.ump.edu.my/id/eprint/44477/1/Optimizing%20Invasive%20ECT%20sensor%20dimensions%20for%20conducting%20pipe.pdf
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author Ain Eazriena, Che Man
Yasmin, Abdul Wahab
Nurhafizah, Abu Talip Yusof
Suzanna, Ridzuan Aw
Mohd Mawardi, Saari
Ruzairi, Abdul Rahim
Yu, Sia Yee
author_facet Ain Eazriena, Che Man
Yasmin, Abdul Wahab
Nurhafizah, Abu Talip Yusof
Suzanna, Ridzuan Aw
Mohd Mawardi, Saari
Ruzairi, Abdul Rahim
Yu, Sia Yee
author_sort Ain Eazriena, Che Man
building UMP Institutional Repository
collection Online Access
description This simulation study aims to optimize the dimensions of an invasive Electrical Capacitance Tomography (ECT) sensor for conducting pipe applications. Conventional non-invasive ECT techniques are ineffective for conducting pipes, as they cannot penetrate the pipe wall. This study explores the use of an invasive ECT system to identify homogeneous and non-homogeneous dielectric media within conducting pipes. A simulation model is developed using the finite element method (FEM) and the Linear Back Projection (LBP) algorithm for image reconstruction, further enhanced by a global threshold method. Various sensor dimensions are tested in a 150 mm length steel pipe, with a sinusoidal waveform source of 25 Vpp and a frequency of 400 kHz applied to the model in both homogeneous and non-homogeneous dielectric media conditions. The simulation results reveal that the sensitivity and resolution of the invasive ECT system are significantly influenced by the sensor dimensions. Optimal sensor dimensions indicate that longer and wider sensors, covering approximately 80% of thesensor coverage area and 60% of the pipe length, provide higher electrical voltage and better resolution. Overall, this study provides valuable insights into optimizing invasive ECT sensor dimensions for observing dielectric media inside conducting pipes, significantly improving the accuracy and reliability of industrial process monitoring in both homogeneous and non-homogeneous media.
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spelling ump-444772025-05-02T01:35:29Z http://umpir.ump.edu.my/id/eprint/44477/ Optimizing Invasive ECT sensor dimensions for conducting pipe: A simulation study Ain Eazriena, Che Man Yasmin, Abdul Wahab Nurhafizah, Abu Talip Yusof Suzanna, Ridzuan Aw Mohd Mawardi, Saari Ruzairi, Abdul Rahim Yu, Sia Yee TK Electrical engineering. Electronics Nuclear engineering This simulation study aims to optimize the dimensions of an invasive Electrical Capacitance Tomography (ECT) sensor for conducting pipe applications. Conventional non-invasive ECT techniques are ineffective for conducting pipes, as they cannot penetrate the pipe wall. This study explores the use of an invasive ECT system to identify homogeneous and non-homogeneous dielectric media within conducting pipes. A simulation model is developed using the finite element method (FEM) and the Linear Back Projection (LBP) algorithm for image reconstruction, further enhanced by a global threshold method. Various sensor dimensions are tested in a 150 mm length steel pipe, with a sinusoidal waveform source of 25 Vpp and a frequency of 400 kHz applied to the model in both homogeneous and non-homogeneous dielectric media conditions. The simulation results reveal that the sensitivity and resolution of the invasive ECT system are significantly influenced by the sensor dimensions. Optimal sensor dimensions indicate that longer and wider sensors, covering approximately 80% of thesensor coverage area and 60% of the pipe length, provide higher electrical voltage and better resolution. Overall, this study provides valuable insights into optimizing invasive ECT sensor dimensions for observing dielectric media inside conducting pipes, significantly improving the accuracy and reliability of industrial process monitoring in both homogeneous and non-homogeneous media. Arqii Publication 2025 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/44477/1/Optimizing%20Invasive%20ECT%20sensor%20dimensions%20for%20conducting%20pipe.pdf Ain Eazriena, Che Man and Yasmin, Abdul Wahab and Nurhafizah, Abu Talip Yusof and Suzanna, Ridzuan Aw and Mohd Mawardi, Saari and Ruzairi, Abdul Rahim and Yu, Sia Yee (2025) Optimizing Invasive ECT sensor dimensions for conducting pipe: A simulation study. Applications of Modelling and Simulation, 9. pp. 37-50. ISSN 2600-8084. (Published) http://arqiipubl.com/ojs/index.php/AMS_Journal/article/view/753/210 http://arqiipubl.com/ojs/index.php/AMS_Journal/article/view/753/210
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Ain Eazriena, Che Man
Yasmin, Abdul Wahab
Nurhafizah, Abu Talip Yusof
Suzanna, Ridzuan Aw
Mohd Mawardi, Saari
Ruzairi, Abdul Rahim
Yu, Sia Yee
Optimizing Invasive ECT sensor dimensions for conducting pipe: A simulation study
title Optimizing Invasive ECT sensor dimensions for conducting pipe: A simulation study
title_full Optimizing Invasive ECT sensor dimensions for conducting pipe: A simulation study
title_fullStr Optimizing Invasive ECT sensor dimensions for conducting pipe: A simulation study
title_full_unstemmed Optimizing Invasive ECT sensor dimensions for conducting pipe: A simulation study
title_short Optimizing Invasive ECT sensor dimensions for conducting pipe: A simulation study
title_sort optimizing invasive ect sensor dimensions for conducting pipe: a simulation study
topic TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/44477/
http://umpir.ump.edu.my/id/eprint/44477/
http://umpir.ump.edu.my/id/eprint/44477/
http://umpir.ump.edu.my/id/eprint/44477/1/Optimizing%20Invasive%20ECT%20sensor%20dimensions%20for%20conducting%20pipe.pdf