Polansky, J and Wang, M (2018) Vertical annular flow pattern characterisation using proper orthogonal decomposition of Electrical Impedance Tomography. Flow Measurement and Instrumentation, 62. pp. 281-296. ISSN 0955-5986
Abstract
Annular flow is one of the most important multiphase flow regimes primarily because of its presence in extensive industrial applications,such as steam generators, evaporators, condensers and boiling water reactors. There is a great need to have specific techniques capable of extracting characteristics of annular flow pattern via experiment and/or modelling, which is essential to understand specific annular flow phenomena. The intention of developing a mathematical decomposition method for flow regime recognition comes from the fact that each regime is characterised by unique dynamic behaviour. The direct approach with Proper Orthogonal Decomposition (POD) was previously introduced by Lumley, which required a very large amount of relevant data from experimental multiphase and process conditions is necessary. The presented approach is to apply POD on a large amount of tomograms for identification of annular flow pattern in a gas-liquid two phase flow, which also provides a new method to extend the current evaluation procedure of Electrical Impedance Tomography (EIT) for imaging of air-water pipeline flows.The paper demonstrates the capability of the proposed method with a study on annular flow patterns in vertical pipeline.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018, Elsevier Ltd. All rights reserved. This is an author produced version of a paper published in Flow Measurement and Instrumentation. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Proper orthogonal decomposition; Two phase flow; Multiphase flow regime; Electrical Impedance Tomography; Electrical Capacitance Tomography |
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) |
Funding Information: | Funder Grant number EURAMET EMRP-MSU ENG58-REG2 EURAMET EMRP-MSU ENG58-REG3 |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Jul 2018 09:53 |
Last Modified: | 15 May 2019 00:41 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.flowmeasinst.2018.05.001 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:133558 |