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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Main Author: Alssayh, Muammer Ali Ahmed
Other Authors: Mba, David
Language:en
Published: Cranfield University 2014
Subjects:
Online Access:http://dspace.lib.cranfield.ac.uk/handle/1826/8399
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spelling 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.
collection NDLTD
language en
sources NDLTD
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
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