Early detection of agglomeration in a polyethylene fluidized bed at high temperature and pressure by vibration signature analysis

Analysis of vibration signatures was used as a reliable non-intrusive technique for detecting the hydrodynamic state of a polyethylene fluidized bed for early detection of agglomeration. Experiments were carried out in a pilot scale gas-solid fluidized bed at 15-25 bar and 100 degrees C. The bed was...

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Main Authors: Alamolhoda, F., Shamiri, A., Hussain, M.A., Sotudeh-Gharebagh, R., Mostoufi, N.
Format: Article
Published: Elsevier 2015
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Online Access:http://eprints.um.edu.my/16354/
https://doi.org/10.1016/j.cherd.2015.08.003
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Institution: Universiti Malaya
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spelling my.um.eprints.163542019-09-25T09:19:02Z http://eprints.um.edu.my/16354/ Early detection of agglomeration in a polyethylene fluidized bed at high temperature and pressure by vibration signature analysis Alamolhoda, F. Shamiri, A. Hussain, M.A. Sotudeh-Gharebagh, R. Mostoufi, N. T Technology (General) TA Engineering (General). Civil engineering (General) Analysis of vibration signatures was used as a reliable non-intrusive technique for detecting the hydrodynamic state of a polyethylene fluidized bed for early detection of agglomeration. Experiments were carried out in a pilot scale gas-solid fluidized bed at 15-25 bar and 100 degrees C. The bed was operating in the bubbling regime of fluidization. Accelerometers were used to record wall vibration generated by flow of particles and bubbles through the bed at various operating pressures and initial particle sizes. Time and frequency domains and state space methods were applied to analyze the experimental data. These methods were able to detect the agglomeration only when the bed has become defluidized. Analyzing the experimental data by the S-test showed that changes in the particle size due to agglomeration can be detected at least 4 degrees C before defluidization of the bed. This study confirmed that using vibration signatures and applying S-test to the vibration data is a satisfactory approach for early detection of agglomeration in fluidized beds. (C) 2015 The Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved. Elsevier 2015 Article PeerReviewed Alamolhoda, F. and Shamiri, A. and Hussain, M.A. and Sotudeh-Gharebagh, R. and Mostoufi, N. (2015) Early detection of agglomeration in a polyethylene fluidized bed at high temperature and pressure by vibration signature analysis. Chemical Engineering Research and Design, 104. pp. 156-163. ISSN 0263-8762 https://doi.org/10.1016/j.cherd.2015.08.003 doi:10.1016/j.cherd.2015.08.003
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
Alamolhoda, F.
Shamiri, A.
Hussain, M.A.
Sotudeh-Gharebagh, R.
Mostoufi, N.
Early detection of agglomeration in a polyethylene fluidized bed at high temperature and pressure by vibration signature analysis
description Analysis of vibration signatures was used as a reliable non-intrusive technique for detecting the hydrodynamic state of a polyethylene fluidized bed for early detection of agglomeration. Experiments were carried out in a pilot scale gas-solid fluidized bed at 15-25 bar and 100 degrees C. The bed was operating in the bubbling regime of fluidization. Accelerometers were used to record wall vibration generated by flow of particles and bubbles through the bed at various operating pressures and initial particle sizes. Time and frequency domains and state space methods were applied to analyze the experimental data. These methods were able to detect the agglomeration only when the bed has become defluidized. Analyzing the experimental data by the S-test showed that changes in the particle size due to agglomeration can be detected at least 4 degrees C before defluidization of the bed. This study confirmed that using vibration signatures and applying S-test to the vibration data is a satisfactory approach for early detection of agglomeration in fluidized beds. (C) 2015 The Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
format Article
author Alamolhoda, F.
Shamiri, A.
Hussain, M.A.
Sotudeh-Gharebagh, R.
Mostoufi, N.
author_facet Alamolhoda, F.
Shamiri, A.
Hussain, M.A.
Sotudeh-Gharebagh, R.
Mostoufi, N.
author_sort Alamolhoda, F.
title Early detection of agglomeration in a polyethylene fluidized bed at high temperature and pressure by vibration signature analysis
title_short Early detection of agglomeration in a polyethylene fluidized bed at high temperature and pressure by vibration signature analysis
title_full Early detection of agglomeration in a polyethylene fluidized bed at high temperature and pressure by vibration signature analysis
title_fullStr Early detection of agglomeration in a polyethylene fluidized bed at high temperature and pressure by vibration signature analysis
title_full_unstemmed Early detection of agglomeration in a polyethylene fluidized bed at high temperature and pressure by vibration signature analysis
title_sort early detection of agglomeration in a polyethylene fluidized bed at high temperature and pressure by vibration signature analysis
publisher Elsevier
publishDate 2015
url http://eprints.um.edu.my/16354/
https://doi.org/10.1016/j.cherd.2015.08.003
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