Assessing the solid mass flow sensing behaviour through capacitive sensing technique
This paper presents an experimental investigation of the behavior of a biomass test material, wheat. Ground wheat grain is replicated as fine biomass base. The experiment is based on voltage application inside a capacitive sensor. This sensor allows the sensing of very small capacitive variation...
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iium-549482017-10-10T08:53:19Z http://irep.iium.edu.my/54948/ Assessing the solid mass flow sensing behaviour through capacitive sensing technique Tasnim, Rumana Khan, Sheroz Arshad, Atika TA Engineering (General). Civil engineering (General) This paper presents an experimental investigation of the behavior of a biomass test material, wheat. Ground wheat grain is replicated as fine biomass base. The experiment is based on voltage application inside a capacitive sensor. This sensor allows the sensing of very small capacitive variation. The sensor is incorporated with an interface sensing circuit based on circular and semi-circular shaped electrode and modified capacitive bridge. Analysis of a particular material’s flow sensing behavior has been carried out by evaluating the measurement data and assessing conformity between experimentally obtained and simulated data. IEEE 2017-01-09 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/54948/1/54948-Assessing%20the%20solid%20mass%20flow%20sensing%20behaviour.pdf application/pdf en http://irep.iium.edu.my/54948/2/54948-Assessing%20the%20solid%20mass%20flow%20sensing%20behaviour_SCOPUS.pdf Tasnim, Rumana and Khan, Sheroz and Arshad, Atika (2017) Assessing the solid mass flow sensing behaviour through capacitive sensing technique. In: 14th Student Conference on Research and Development, IEEE (SCOReD 2016), 13th-14th December 2016, Kuala Lumpur, Malaysia. http://ieeexplore.ieee.org/document/7810098/ 10.1109/SCORED.2016.7810098 |
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International Islamic University Malaysia |
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language |
English English |
topic |
TA Engineering (General). Civil engineering (General) |
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TA Engineering (General). Civil engineering (General) Tasnim, Rumana Khan, Sheroz Arshad, Atika Assessing the solid mass flow sensing behaviour through capacitive sensing technique |
description |
This paper presents an experimental investigation
of the behavior of a biomass test material, wheat. Ground wheat
grain is replicated as fine biomass base. The experiment is based
on voltage application inside a capacitive sensor. This sensor
allows the sensing of very small capacitive variation. The sensor
is incorporated with an interface sensing circuit based on circular
and semi-circular shaped electrode and modified capacitive
bridge. Analysis of a particular material’s flow sensing behavior
has been carried out by evaluating the measurement data and
assessing conformity between experimentally obtained and
simulated data. |
format |
Conference or Workshop Item |
author |
Tasnim, Rumana Khan, Sheroz Arshad, Atika |
author_facet |
Tasnim, Rumana Khan, Sheroz Arshad, Atika |
author_sort |
Tasnim, Rumana |
title |
Assessing the solid mass flow sensing behaviour
through capacitive sensing technique |
title_short |
Assessing the solid mass flow sensing behaviour
through capacitive sensing technique |
title_full |
Assessing the solid mass flow sensing behaviour
through capacitive sensing technique |
title_fullStr |
Assessing the solid mass flow sensing behaviour
through capacitive sensing technique |
title_full_unstemmed |
Assessing the solid mass flow sensing behaviour
through capacitive sensing technique |
title_sort |
assessing the solid mass flow sensing behaviour
through capacitive sensing technique |
publisher |
IEEE |
publishDate |
2017 |
url |
http://irep.iium.edu.my/54948/ http://irep.iium.edu.my/54948/ http://irep.iium.edu.my/54948/ http://irep.iium.edu.my/54948/1/54948-Assessing%20the%20solid%20mass%20flow%20sensing%20behaviour.pdf http://irep.iium.edu.my/54948/2/54948-Assessing%20the%20solid%20mass%20flow%20sensing%20behaviour_SCOPUS.pdf |
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2023-09-18T21:17:42Z |
last_indexed |
2023-09-18T21:17:42Z |
_version_ |
1777411672862883840 |