Li, X, Jaworski, AJ and Mao, X orcid.org/0000-0002-9004-2081 (2018) Bubble size and bubble rise velocity estimation by means of electrical capacitance tomography within gas-solids fluidized beds. Measurement, 117. pp. 226-240. ISSN 0263-2241
Abstract
Electrical capacitance tomography (ECT) has been developed as a non-invasive and non-intrusive measurement technique to investigate the internal hydrodynamic characteristics of gas-solids systems in fluidized beds. This paper describes an investigation, in which a customized twin-plane ECT sensor was designed and constructed to study the fluid flow processes within a bench-scale gas-solids fluidized bed. A detailed calibration process was conducted using hollow plastic balls of different diameters to derive the reference grey level cut-off values for determining the bubble diameter. In addition, numerical simulations were carried out to investigate the plastic ball wall effect on measured capacitance values. Bubble diameters were estimated by means of the individual reference cut-off values and their linear and second-order fitted curves. Linear back-projection (LBP) and iterative LBP image reconstruction algorithms were compared with respect to estimating the bubble diameter. A number of approaches were investigated to estimate the bubble rise velocity including three methods based on cross-correlation techniques and the detailed signal analysis. Bubble diameters were also obtained using a new approach based on “back-calculation” of the bubble rise velocity through widely accepted empirical correlations from the existing literature.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2017, Elsevier Ltd. All rights reserved. This is an author produced version of a paper published in Measurement. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Gas-solids fluidized beds; Electrical capacitance tomography; Bubble diameter; Bubble rise velocity; Numerical simulation |
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) |
Depositing User: | Symplectic Publications |
Date Deposited: | 29 Jan 2018 16:44 |
Last Modified: | 13 Dec 2018 01:39 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.measurement.2017.12.017 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:126715 |