Jia, J, Wang, M and Faraj, Y (2014) Evaluation of EIT systems and algorithms for handling full void fraction range in two-phase flow measurement. Measurement Science and Technology, 26 (1). 015305. ISSN 0957-0233
Abstract
In the aqueous-based two-phase flow, if the void fraction of dispersed phase exceeds 0.25, conventional electrical impedance tomography (EIT) produces a considerable error due to the linear approximation of the sensitivity back-projection (SBP) method, which limits the EIT's wider application in the process industry. In this paper, an EIT sensing system which is able to handle full void fraction range in two-phase flow is reported. This EIT system employs a voltage source, conducts true mutual impedance measurement and reconstructs an online image with the modified sensitivity back-projection (MSBP) algorithm. The capability of the Maxwell relationship to convey full void fraction is investigated. The limitation of the linear sensitivity back-projection method is analysed. The MSBP algorithm is used to derive relative conductivity change in the evaluation. A series of static and dynamic experiments demonstrating the mean void fraction obtained using this EIT system has a good agreement with reference void fractions over the range from 0 to 1. The combination of the new EIT system and MSBP algorithm would significantly extend the applications of EIT in industrial process measurement.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 IOP Publishing Ltd. This is an author produced version of a paper published in Measurements Science and Technology. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | electrical impedance tomography, two-phase flow measurement, full void fraction and voltage source EIT |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) > Institute for Particle Science and Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 08 Oct 2015 15:11 |
Last Modified: | 15 Jan 2018 18:26 |
Published Version: | http://dx.doi.org/10.1088/0957-0233/26/1/015305 |
Status: | Published |
Publisher: | IOP Publishing |
Identification Number: | 10.1088/0957-0233/26/1/015305 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:88898 |