Faraj, Y, Wang, M and Jia, J (2015) Automated Horizontal Slurry Flow Regime Recognition Using Statistical Analysis of the ERT Signal. Procedia Engineering, 102. pp. 821-830. ISSN 1877-7058
Abstract
Flow regime recognition is not only useful for characterisation of the flow, but also for the purpose of modeling, system controls and optimization and correction of flow regime dependent flow meters. This paper proposes a new indirect method for on-line recognition of the active horizontal slurry flow regime using statistical signal analysis of measurements obtained with a high performance Electrical Resistance Tomography system (ERT). Significant features of the ERT signal are extracted from both time domain and frequency domain. A set of experiments were carried out using a pilot-scale slurry flow loop, through which a mixture of sand and tap water was pumped into a 50 mm inner-diameter test section. All common slurry flow regimes are considered in the recognition scheme, including the transitional regime boundaries covering the transport velocity range of 1.5-5 m/s. Two types of sand are used in the experiments, medium (75-900 μm) and coarse (150-2200 μm), each with different throughput volumetric concentration, 2% and 10%. 1.2 m transparent pipe section was included into the test section, so as to visually inspect the prevailing flow regime and capture photographic images of the flow. A code was developed not only to render the recognition of the active flow regime, but also to visualise the distribution of the solid particles across the pipe crosssection and display the mean solids volume fraction. The evaluation of the proposed recognition method suggests 90.32% successful rate.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2015, The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Electrical Resistance Tomography; horizontal slurry flow; slurry flow regime recognition; ERT signal analysis |
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) |
Funding Information: | Funder Grant number EPSRC EP/K503836/1 EPSRC EP/H023054/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 15 Aug 2016 09:21 |
Last Modified: | 11 Apr 2018 12:23 |
Published Version: | http://dx.doi.org/10.1016/j.proeng.2015.01.198 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.proeng.2015.01.198 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:99514 |