Slug Velocity Measurement and Flow Regime Recognition Using Acoustic Emission Technology
Slug velocity measurement and flow regime recognition using acoustic emission technology are presented. Two non-intrusive and three intrusive methods were employed to detect the slug regime and measure its velocity using AE sensors. For the non-intrusive methods, AE sensors were placed directly on t...
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2014
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ndltd-CRANFIELD1-oai-dspace.lib.cranfield.ac.uk-1826-83992014-04-29T03:32:14ZSlug Velocity Measurement and Flow Regime Recognition Using Acoustic Emission TechnologyAlssayh, Muammer Ali AhmedAcoustic EmissionSlug velocitytwo phase flowflow regimesSlug velocity measurement and flow regime recognition using acoustic emission technology are presented. Two non-intrusive and three intrusive methods were employed to detect the slug regime and measure its velocity using AE sensors. For the non-intrusive methods, AE sensors were placed directly on the exterior of the steel pipe section of the test rig with and without clamps. The intrusive method involved using different waveguide configurations with the AE sensors flush with the inner wall of the pipe. The experimental study presented investigated the application of Acoustic Emission (AE) technology for detecting slug velocity in addition to differentiating flow regime in two-phase (gas/liquid) flow in horizontal pipes. It is concluded that the slug velocity can be determined with acoustic emission (AE) sensors. The results were compared to slug velocities measured using high speed camera (HSC) and Ultrasound Transit Time (UST) techniques with good agreement between the three techniques at low gas void fraction (GVF). However, at high GVF (up to 95%) where the UST technique has limitations in application, the AE and HSC offered a good agreement. Flow regimes were also differentiated by using a combination of AE technology and Kolmogorov–Smirnov test technique. Stratified, slug and bubble regimes were recognised differentiated.Cranfield UniversityMba, DavidAddali, Abdulmajid2014-04-28T11:12:03Z2014-04-28T11:12:03Z2013-07Thesis or dissertationDoctoralPhDhttp://dspace.lib.cranfield.ac.uk/handle/1826/8399en© Cranfield University 2012. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright owner. |
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language |
en |
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topic |
Acoustic Emission Slug velocity two phase flow flow regimes |
spellingShingle |
Acoustic Emission Slug velocity two phase flow flow regimes Alssayh, Muammer Ali Ahmed Slug Velocity Measurement and Flow Regime Recognition Using Acoustic Emission Technology |
description |
Slug velocity measurement and flow regime recognition using acoustic emission technology are presented. Two non-intrusive and three intrusive methods were employed to detect the slug regime and measure its velocity using AE sensors. For the non-intrusive methods, AE sensors were placed directly on the exterior of the steel pipe section of the test rig with and without clamps. The intrusive method involved using different waveguide configurations with the AE sensors flush with the inner wall of the pipe.
The experimental study presented investigated the application of Acoustic Emission (AE) technology for detecting slug velocity in addition to differentiating flow regime in two-phase (gas/liquid) flow in horizontal pipes. It is concluded that the slug velocity can be determined with acoustic emission (AE) sensors. The results were compared to slug velocities measured using high speed camera (HSC) and Ultrasound Transit Time (UST) techniques with good agreement between the three techniques at low gas void fraction (GVF). However, at high GVF (up to 95%) where the UST technique has limitations in application, the AE and HSC offered a good agreement. Flow regimes were also differentiated by using a combination of AE technology and Kolmogorov–Smirnov test technique. Stratified, slug and bubble regimes were recognised differentiated. |
author2 |
Mba, David |
author_facet |
Mba, David Alssayh, Muammer Ali Ahmed |
author |
Alssayh, Muammer Ali Ahmed |
author_sort |
Alssayh, Muammer Ali Ahmed |
title |
Slug Velocity Measurement and Flow Regime Recognition Using Acoustic Emission Technology |
title_short |
Slug Velocity Measurement and Flow Regime Recognition Using Acoustic Emission Technology |
title_full |
Slug Velocity Measurement and Flow Regime Recognition Using Acoustic Emission Technology |
title_fullStr |
Slug Velocity Measurement and Flow Regime Recognition Using Acoustic Emission Technology |
title_full_unstemmed |
Slug Velocity Measurement and Flow Regime Recognition Using Acoustic Emission Technology |
title_sort |
slug velocity measurement and flow regime recognition using acoustic emission technology |
publisher |
Cranfield University |
publishDate |
2014 |
url |
http://dspace.lib.cranfield.ac.uk/handle/1826/8399 |
work_keys_str_mv |
AT alssayhmuammeraliahmed slugvelocitymeasurementandflowregimerecognitionusingacousticemissiontechnology |
_version_ |
1716666261599944704 |