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Material phase detection using capacitance tomography

Includes bibliographical references.

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Bibliographic Details
Main Author: Smit, Quinton
Other Authors: Tapson, Jonathan
Format: Thesis
Language:English
Published: Department of Electrical Engineering 2014
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access_status_str Open Access
author Smit, Quinton
author2 Tapson, Jonathan
author_browse Smit, Quinton
Tapson, Jonathan
author_facet Tapson, Jonathan
Smit, Quinton
author_sort Smit, Quinton
collection Thesis
description Includes bibliographical references.
format Thesis
id oai:open.uct.ac.za:11427/5102
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:32:39.476Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Electrical Engineering
publisherStr Department of Electrical Engineering
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/5102 Material phase detection using capacitance tomography Smit, Quinton Tapson, Jonathan Electrical Engineering Includes bibliographical references. The design of sensor electronics for a tomographic imaging system based on electrical capacitance sensors is of interest in many different engineering applications. This can be especially beneficial in industrial two-component flow systems where capacitance tomography may provide information on how the two components are distributed, and the overall mass flow rate. Conventional flowmeters are often unsuitable for accurate measurements in two phase flows. This is particularly prevalent in cases where the component distribution is varying in space and time. Computerised tomographic methods used in medical imaging, can provide a useful means for obtaining a1most instantaneous information on the distribution of components in a cross section of a pipe. This aspect is exploited in this work leading to the possibility of a more accurate and relevant measurement. Several different flow imaging techniques have been developed based on neutron, x-ray, capacitance and ultrasound techniques. This work firstly reviews the recent developments in tomographic systems with particular reference to measurements in industrial processes. The principle flow sensing methods are summarized including cross correlation techniques and their applications. Application methods of artificial intelligence for image reconstruction are also reviewed as these techniques will be required in future developments. 2014-07-31T10:52:36Z 2014-07-31T10:52:36Z 2000 Master Thesis Masters MSc) http://hdl.handle.net/11427/5102 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Electrical Engineering
Smit, Quinton
Material phase detection using capacitance tomography
thesis_degree_str Master's
title Material phase detection using capacitance tomography
title_full Material phase detection using capacitance tomography
title_fullStr Material phase detection using capacitance tomography
title_full_unstemmed Material phase detection using capacitance tomography
title_short Material phase detection using capacitance tomography
title_sort material phase detection using capacitance tomography
topic Electrical Engineering
url http://hdl.handle.net/11427/5102
work_keys_str_mv AT smitquinton materialphasedetectionusingcapacitancetomography