Prediction of Minimum Fluidisation Velocity Using a CFD-PBM Coupled Model in an Industrial Gas Phase Polymerisation Reactor
The objective of this paper is to develop computational fluid dynamic (CFD)- population balance model (PBM) coupled model to predict a minimum fluidisation velocity in industrial polydisperse gas phase linear low-density polyethylene (LLDPE) polymerisation reactor. The population balance model (P...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor's University
2014
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| Subjects: | |
| Online Access: | http://eprints.usm.my/42733/1/JES_Vol._10_2014-Art._10-%2895-105%29.pdf http://eprints.usm.my/42733/ http://web.usm.my/jes/10_2014/JES%20Vol.%2010%202014-Art.%2010-(95-105).pdf |
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| Institution: | Universiti Sains Malaysia |
| Language: | English |
| Summary: | The objective of this paper is to develop computational fluid dynamic (CFD)-
population balance model (PBM) coupled model to predict a minimum fluidisation
velocity in industrial polydisperse gas phase linear low-density polyethylene (LLDPE)
polymerisation reactor. The population balance model (PBM) by direct quadrature
method of moment (DQMOM) implemented in CFD framework was used to predict the
minimum fluidisation velocity. The simulation results were validated by the operational
data in terms of bed height and pressure drop. This CFD-PBM coupled model can be
extended to investigate the flow field and particle kinetic through the reactor. |
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