Design Optimization of a Multiphase Coplanar Capacitive Sensor
Detecting oil under the ice in arctic regions with current remote sensing techniques is challenging due to several factors, such as the attenuation of radio-frequency electromagnetic waves and the unknown properties of oil that vary depending on its type and the environmental conditions. To address...
Published in: | 2023 IEEE International Conference on Imaging Systems and Techniques (IST) |
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ftumanchesterpub:oai:pure.atira.dk:publications/1e4c156b-ce33-430f-9e76-aaaf78ed5aea 2024-04-28T08:11:18+00:00 Design Optimization of a Multiphase Coplanar Capacitive Sensor Altrabolsi, Mahmoud Saleh, Mahdi Elhajj, Imad H. Asmar, Daniel 2023-12-20 application/pdf https://research.manchester.ac.uk/en/publications/1e4c156b-ce33-430f-9e76-aaaf78ed5aea https://doi.org/10.1109/IST59124.2023.10355738 https://pure.manchester.ac.uk/ws/files/297750603/Design_Optimization_of_a_Multiphase_Coplanar_AAM.pdf http://www.scopus.com/inward/record.url?scp=85182729208&partnerID=8YFLogxK eng eng IEEE https://research.manchester.ac.uk/en/publications/1e4c156b-ce33-430f-9e76-aaaf78ed5aea info:eu-repo/semantics/openAccess Altrabolsi , M , Saleh , M , Elhajj , I H & Asmar , D 2023 , Design Optimization of a Multiphase Coplanar Capacitive Sensor . in 2023 IEEE International Conference on Imaging Systems and Techniques (IST) . IEEE . https://doi.org/10.1109/IST59124.2023.10355738 Capacitive Sensing Electric Field Sensing Oil Spill contributionToPeriodical 2023 ftumanchesterpub https://doi.org/10.1109/IST59124.2023.10355738 2024-04-01T17:05:57Z Detecting oil under the ice in arctic regions with current remote sensing techniques is challenging due to several factors, such as the attenuation of radio-frequency electromagnetic waves and the unknown properties of oil that vary depending on its type and the environmental conditions. To address this problem, we propose a planar capacitive sensor that works in the quasi-electrostatic domain to detect and characterize oil under ice based on its dielectric properties. This paper focuses on the design optimization process that was conducted with the aim of improving the sensitivity and penetration depth of our proposed sensor. Our design optimization process studies different geometrical and electrical parameters and compares the sensor performance obtained from using grounded (passive) backplanes and driven (active) guards. It includes a set of simulations performed using ANSYS electrostatic simulation software and a set of experiments performed under indoor laboratory conditions. The results demonstrated the effectiveness of the optimized sensor design, which is based on a pair of trapezoidal electrodes that are implemented on separate PCBs and surrounded by driven guards. Another major novelty of our proposed sensor design is based on measuring the mutual capacitance between the two sensor plates after changing the horizontal distance between them using a dynamic mounting setup. This allows us to take a number of capacitance measurements at different penetration depths of the electric field before using them to detect the presence of oil and estimate its thickness. Further tests in real-world scenarios are planned for future work. Article in Journal/Newspaper Arctic The University of Manchester: Research Explorer 2023 IEEE International Conference on Imaging Systems and Techniques (IST) 1 6 |
institution |
Open Polar |
collection |
The University of Manchester: Research Explorer |
op_collection_id |
ftumanchesterpub |
language |
English |
topic |
Capacitive Sensing Electric Field Sensing Oil Spill |
spellingShingle |
Capacitive Sensing Electric Field Sensing Oil Spill Altrabolsi, Mahmoud Saleh, Mahdi Elhajj, Imad H. Asmar, Daniel Design Optimization of a Multiphase Coplanar Capacitive Sensor |
topic_facet |
Capacitive Sensing Electric Field Sensing Oil Spill |
description |
Detecting oil under the ice in arctic regions with current remote sensing techniques is challenging due to several factors, such as the attenuation of radio-frequency electromagnetic waves and the unknown properties of oil that vary depending on its type and the environmental conditions. To address this problem, we propose a planar capacitive sensor that works in the quasi-electrostatic domain to detect and characterize oil under ice based on its dielectric properties. This paper focuses on the design optimization process that was conducted with the aim of improving the sensitivity and penetration depth of our proposed sensor. Our design optimization process studies different geometrical and electrical parameters and compares the sensor performance obtained from using grounded (passive) backplanes and driven (active) guards. It includes a set of simulations performed using ANSYS electrostatic simulation software and a set of experiments performed under indoor laboratory conditions. The results demonstrated the effectiveness of the optimized sensor design, which is based on a pair of trapezoidal electrodes that are implemented on separate PCBs and surrounded by driven guards. Another major novelty of our proposed sensor design is based on measuring the mutual capacitance between the two sensor plates after changing the horizontal distance between them using a dynamic mounting setup. This allows us to take a number of capacitance measurements at different penetration depths of the electric field before using them to detect the presence of oil and estimate its thickness. Further tests in real-world scenarios are planned for future work. |
format |
Article in Journal/Newspaper |
author |
Altrabolsi, Mahmoud Saleh, Mahdi Elhajj, Imad H. Asmar, Daniel |
author_facet |
Altrabolsi, Mahmoud Saleh, Mahdi Elhajj, Imad H. Asmar, Daniel |
author_sort |
Altrabolsi, Mahmoud |
title |
Design Optimization of a Multiphase Coplanar Capacitive Sensor |
title_short |
Design Optimization of a Multiphase Coplanar Capacitive Sensor |
title_full |
Design Optimization of a Multiphase Coplanar Capacitive Sensor |
title_fullStr |
Design Optimization of a Multiphase Coplanar Capacitive Sensor |
title_full_unstemmed |
Design Optimization of a Multiphase Coplanar Capacitive Sensor |
title_sort |
design optimization of a multiphase coplanar capacitive sensor |
publisher |
IEEE |
publishDate |
2023 |
url |
https://research.manchester.ac.uk/en/publications/1e4c156b-ce33-430f-9e76-aaaf78ed5aea https://doi.org/10.1109/IST59124.2023.10355738 https://pure.manchester.ac.uk/ws/files/297750603/Design_Optimization_of_a_Multiphase_Coplanar_AAM.pdf http://www.scopus.com/inward/record.url?scp=85182729208&partnerID=8YFLogxK |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Altrabolsi , M , Saleh , M , Elhajj , I H & Asmar , D 2023 , Design Optimization of a Multiphase Coplanar Capacitive Sensor . in 2023 IEEE International Conference on Imaging Systems and Techniques (IST) . IEEE . https://doi.org/10.1109/IST59124.2023.10355738 |
op_relation |
https://research.manchester.ac.uk/en/publications/1e4c156b-ce33-430f-9e76-aaaf78ed5aea |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1109/IST59124.2023.10355738 |
container_title |
2023 IEEE International Conference on Imaging Systems and Techniques (IST) |
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6 |
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1797578789661704192 |