Prediction of particle size and layer-thickness distributions in a continuous horizontal fluidized-bed coating process

被引:20
|
作者
Bachmann, P. [1 ]
Chen, K. [1 ]
Bueck, A. [2 ]
Tsotsas, E. [1 ]
机构
[1] Otto von Guericke Univ, Thermal Proc Engn, Univ Pl 2, D-39106 Magdeburg, Germany
[2] Friedrich Alexander Univ Erlangen Nuremberg, Inst Particle Technol, Cauerstr 4, D-91058 Erlangen, Germany
来源
PARTICUOLOGY | 2020年 / 50卷
关键词
Fluidized bed; Continuous process; Coating; Residence-time distribution; Particle-size distribution; Layer-thickness distribution; RESIDENCE TIME DISTRIBUTION; PROCESS STABILITY; BODENSTEIN NUMBER; MODEL; GRANULATION;
D O I
10.1016/j.partic.2019.06.005
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
To predict the particle size and layer-thickness distributions (LTDs) in a continuously operated horizontal fluidized-bed granulation process, two alternative models were considered. A one-dimensional two-zone model was proposed, which describes with population-balance equations the particle growth in a spraying zone that is separated from the drying zone. The residence-time distribution (RTD) was calculated from a literature correlation and was coupled with a population-balance model via a tank-in-series model with reflux. A two-dimensional, one-zone population-balance model, which was based directly on the RTD and the feed particle-size distribution (PSD) was also used. Granulation experiments were conducted and analyzed microscopically and with a camera optical device to determine the sample PSDs. LTDs over the particle population were derived from the PSDs and were analyzed directly by micro-computertomography. To compare the simulated data with the experimentally determined distributions, the PSDs were converted to LTDs. The good agreement shows that both methods are suitable to determine the PSD from an RTD of an arbitrary granulation process in a horizontal fluidized bed. Improvement appears necessary with regards to the LTD spread. (C) 2019 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.
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页码:1 / 12
页数:12
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