Hydrodynamics and particle mixing/segregation measurements in an industrial gas phase olefin polymerization reactor using image processing technique and CFD-PBM model
Particle size distribution (PSD) has a significant impact on the performance of fluidized bed reactors due to uneven distribution in the segregation and mixing phenomena. This paper develops a new method of digital image processing that investigates the hydrodynamics of an industrial gas phase olefi...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Article |
Published: |
Elsevier
2016
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/18332/ https://doi.org/10.1016/j.measurement.2016.01.029 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.um.eprints.18332 |
---|---|
record_format |
eprints |
spelling |
my.um.eprints.183322021-02-10T03:58:47Z http://eprints.um.edu.my/18332/ Hydrodynamics and particle mixing/segregation measurements in an industrial gas phase olefin polymerization reactor using image processing technique and CFD-PBM model Aramesh, R. Akbari, V. Shamiri, Ahmad Hussain, Mohd Azlan Aghamohammadi, N. TP Chemical technology Particle size distribution (PSD) has a significant impact on the performance of fluidized bed reactors due to uneven distribution in the segregation and mixing phenomena. This paper develops a new method of digital image processing that investigates the hydrodynamics of an industrial gas phase olefin polymerization reactor and studies the fluidization structure of a wide range of particle size distribution in an industrial gas phase polymerization reactor by means of a CFD-PBM coupled model, where the direct quadrature method of moments (DQMOM) was implemented to solve the population balance model. It was shown that the applied parameter assumptions and closure laws were appropriately chosen to satisfactorily predict the available operational data in terms of pressure drop and bed height. The transient CFD-PBM/DQMOM coupled model and image analysis technique are then implemented extensively to analyze bubble fluidization structure and segregation phenomena at different velocities. The particle segregation indicates that the small bubbles present in the bed are unable to induce vigorous mixing at low superficial gas velocity while particle mixing improves at a velocity above the minimum fluidization velocity. Further, the predicted results show higher axial segregation phenomena when compared to the radial direction. Elsevier 2016 Article PeerReviewed Aramesh, R. and Akbari, V. and Shamiri, Ahmad and Hussain, Mohd Azlan and Aghamohammadi, N. (2016) Hydrodynamics and particle mixing/segregation measurements in an industrial gas phase olefin polymerization reactor using image processing technique and CFD-PBM model. Measurement, 83. pp. 106-122. ISSN 0263-2241 https://doi.org/10.1016/j.measurement.2016.01.029 doi:10.1016/j.measurement.2016.01.029 |
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 |
TP Chemical technology |
spellingShingle |
TP Chemical technology Aramesh, R. Akbari, V. Shamiri, Ahmad Hussain, Mohd Azlan Aghamohammadi, N. Hydrodynamics and particle mixing/segregation measurements in an industrial gas phase olefin polymerization reactor using image processing technique and CFD-PBM model |
description |
Particle size distribution (PSD) has a significant impact on the performance of fluidized bed reactors due to uneven distribution in the segregation and mixing phenomena. This paper develops a new method of digital image processing that investigates the hydrodynamics of an industrial gas phase olefin polymerization reactor and studies the fluidization structure of a wide range of particle size distribution in an industrial gas phase polymerization reactor by means of a CFD-PBM coupled model, where the direct quadrature method of moments (DQMOM) was implemented to solve the population balance model. It was shown that the applied parameter assumptions and closure laws were appropriately chosen to satisfactorily predict the available operational data in terms of pressure drop and bed height. The transient CFD-PBM/DQMOM coupled model and image analysis technique are then implemented extensively to analyze bubble fluidization structure and segregation phenomena at different velocities. The particle segregation indicates that the small bubbles present in the bed are unable to induce vigorous mixing at low superficial gas velocity while particle mixing improves at a velocity above the minimum fluidization velocity. Further, the predicted results show higher axial segregation phenomena when compared to the radial direction. |
format |
Article |
author |
Aramesh, R. Akbari, V. Shamiri, Ahmad Hussain, Mohd Azlan Aghamohammadi, N. |
author_facet |
Aramesh, R. Akbari, V. Shamiri, Ahmad Hussain, Mohd Azlan Aghamohammadi, N. |
author_sort |
Aramesh, R. |
title |
Hydrodynamics and particle mixing/segregation measurements in an industrial gas phase olefin polymerization reactor using image processing technique and CFD-PBM model |
title_short |
Hydrodynamics and particle mixing/segregation measurements in an industrial gas phase olefin polymerization reactor using image processing technique and CFD-PBM model |
title_full |
Hydrodynamics and particle mixing/segregation measurements in an industrial gas phase olefin polymerization reactor using image processing technique and CFD-PBM model |
title_fullStr |
Hydrodynamics and particle mixing/segregation measurements in an industrial gas phase olefin polymerization reactor using image processing technique and CFD-PBM model |
title_full_unstemmed |
Hydrodynamics and particle mixing/segregation measurements in an industrial gas phase olefin polymerization reactor using image processing technique and CFD-PBM model |
title_sort |
hydrodynamics and particle mixing/segregation measurements in an industrial gas phase olefin polymerization reactor using image processing technique and cfd-pbm model |
publisher |
Elsevier |
publishDate |
2016 |
url |
http://eprints.um.edu.my/18332/ https://doi.org/10.1016/j.measurement.2016.01.029 |
_version_ |
1691733427349356544 |
score |
13.18916 |