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Article . 2015 . Peer-reviewed
License: Elsevier TDM
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Numerical simulation of 3-phase fluidized bed particle segregation

Authors: Shayan Karimipour; Ebrahim Azimi; Jozef Szymanski; Petr A. Nikrityuk; Rajender Gupta;

Numerical simulation of 3-phase fluidized bed particle segregation

Abstract

Abstract Air dense medium fluidized bed technique has been proposed as a viable technique for dry coal beneficiation with acceptable separation efficiency. In the current work, CFD simulation has been used to provide deeper understanding of the bed hydrodynamics in this system. The simulation results have been compared with the experimental data from sedimentation or flotation of 3.675 mm coal particles in a bed of Geldart group B silica sand particles (390 μm, 2600 kg/m3). The superficial velocity has been adjusted (between minimum fluidization and minimum bubbling) to keep the bed in the particulate regime. The results of several 2D and 3D Eulerian multiphase CFD models have been evaluated and compared with the experimental data of bed expansion, bubble pattern and frequency, and coal particles density classes. It was found that the modification of the coefficients of Syamlal-O’Brien drag model to 0.52 and 5.30369 and solid–solid restitution coefficient of 0.9 would enhance model predictions for both sand fluidized bed and coal segregation compared to the experimental data. Comparison of the simulation results with experiments showed that 3D simulation model performed 29.1% better than similar 2D models.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Average
Average