Effect of Drag Models on Residence Time Distributions of Particles in a Wurster Fluidized Bed: a DEM-CFD Study

Fluidized bed coating has been used to coat pellets or tablets with functional substances for a number of purposes. In this coating process, particle wetting, drying and film formation are coupled to particle motion. It is therefore of interest to study particle motion in such fluidized beds and to...

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Main Authors: Liang Li, Johan Remmelgas, Berend G.M. van Wachem, Christian von Corswant, Staffan Folestad, Mats Johansson, Anders Rasmuson
Format: Article
Language:English
Published: Hosokawa Powder Technology Foundation 2015-07-01
Series:KONA Powder and Particle Journal
Subjects:
Online Access:https://www.jstage.jst.go.jp/article/kona/33/0/33_2016008/_html/-char/en
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author Liang Li
Johan Remmelgas
Berend G.M. van Wachem
Christian von Corswant
Staffan Folestad
Mats Johansson
Anders Rasmuson
author_facet Liang Li
Johan Remmelgas
Berend G.M. van Wachem
Christian von Corswant
Staffan Folestad
Mats Johansson
Anders Rasmuson
author_sort Liang Li
collection DOAJ
description Fluidized bed coating has been used to coat pellets or tablets with functional substances for a number of purposes. In this coating process, particle wetting, drying and film formation are coupled to particle motion. It is therefore of interest to study particle motion in such fluidized beds and to use the results to develop a model for predicting the quality of the final product. In this paper, we present results from DEM-CFD simulations, i.e. discrete element method and computational fluid dynamics simulations of particle motion in a laboratory-scale Wurster fluidized bed that was also employed in positron emission particle tracking (PEPT) experiments. As the drag force is the dominant interaction between the gas flow and the particle motion in this type of fluidized bed, the effect of drag models on the particle motion is investigated. More specifically, the particle velocity and residence time distributions of particles in different regions calculated from five different drag models are presented. It is found that the Gidaspow and Tang drag models predict both particle cycle and residence times well. The HKL and Beetstra drag models somewhat overestimate the particle velocity in the Wurster tube and therefore predict a reduced number of recirculations and a significantly shorter cycle time.
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spelling doaj.art-2e8f3c54919f4bb1bff239ff24c2c9072022-12-21T23:31:38ZengHosokawa Powder Technology FoundationKONA Powder and Particle Journal0288-45342187-55372015-07-0133026427710.14356/kona.2016008konaEffect of Drag Models on Residence Time Distributions of Particles in a Wurster Fluidized Bed: a DEM-CFD StudyLiang Li0Johan Remmelgas1Berend G.M. van Wachem2Christian von Corswant3Staffan Folestad4Mats Johansson5Anders Rasmuson6Department of Chemistry and Chemical Engineering, Chalmers University of Technology, SwedenPharmaceutical Development, AstraZeneca R&D, SwedenDivision of Thermofluids, Department of Mechanical Engineering, Imperial College London, United KingdomPharmaceutical Development, AstraZeneca R&D, SwedenPharmaceutical Development, AstraZeneca R&D, SwedenPharmaceutical Development, AstraZeneca R&D, SwedenDepartment of Chemistry and Chemical Engineering, Chalmers University of Technology, SwedenFluidized bed coating has been used to coat pellets or tablets with functional substances for a number of purposes. In this coating process, particle wetting, drying and film formation are coupled to particle motion. It is therefore of interest to study particle motion in such fluidized beds and to use the results to develop a model for predicting the quality of the final product. In this paper, we present results from DEM-CFD simulations, i.e. discrete element method and computational fluid dynamics simulations of particle motion in a laboratory-scale Wurster fluidized bed that was also employed in positron emission particle tracking (PEPT) experiments. As the drag force is the dominant interaction between the gas flow and the particle motion in this type of fluidized bed, the effect of drag models on the particle motion is investigated. More specifically, the particle velocity and residence time distributions of particles in different regions calculated from five different drag models are presented. It is found that the Gidaspow and Tang drag models predict both particle cycle and residence times well. The HKL and Beetstra drag models somewhat overestimate the particle velocity in the Wurster tube and therefore predict a reduced number of recirculations and a significantly shorter cycle time.https://www.jstage.jst.go.jp/article/kona/33/0/33_2016008/_html/-char/enfluidized bedparticlesresidence time distributionsdragdemcfd
spellingShingle Liang Li
Johan Remmelgas
Berend G.M. van Wachem
Christian von Corswant
Staffan Folestad
Mats Johansson
Anders Rasmuson
Effect of Drag Models on Residence Time Distributions of Particles in a Wurster Fluidized Bed: a DEM-CFD Study
KONA Powder and Particle Journal
fluidized bed
particles
residence time distributions
drag
dem
cfd
title Effect of Drag Models on Residence Time Distributions of Particles in a Wurster Fluidized Bed: a DEM-CFD Study
title_full Effect of Drag Models on Residence Time Distributions of Particles in a Wurster Fluidized Bed: a DEM-CFD Study
title_fullStr Effect of Drag Models on Residence Time Distributions of Particles in a Wurster Fluidized Bed: a DEM-CFD Study
title_full_unstemmed Effect of Drag Models on Residence Time Distributions of Particles in a Wurster Fluidized Bed: a DEM-CFD Study
title_short Effect of Drag Models on Residence Time Distributions of Particles in a Wurster Fluidized Bed: a DEM-CFD Study
title_sort effect of drag models on residence time distributions of particles in a wurster fluidized bed a dem cfd study
topic fluidized bed
particles
residence time distributions
drag
dem
cfd
url https://www.jstage.jst.go.jp/article/kona/33/0/33_2016008/_html/-char/en
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