Identification of defluidization in fluidized bed coating using the Gaussian spectral pressure distribution
Identification of defluidization in fluidized bed coating using the Gaussian spectral pressure distribution
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DOI:
10.1016/j.powtec.2010.07.008
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发表时间:
2011-01
影响因子:
5.2
通讯作者:
M. R. Parise;Carlos A. Silva;Marcos J. Ramazini;O. Taranto
中科院分区:
文献类型:
--
作者:
M. R. Parise;Carlos A. Silva;Marcos J. Ramazini;O. Taranto
The partial or complete bed defluidization is an undesired phenomenon in industrial application involving fluidized bed operations. In the process of particle coating, the defluidization can be prevented by increasing the gas velocity and/or decreasing the coating suspension flow rate, if the changes in the hydrodynamics of the fluidization are early detected. For industrial applications, the use of a technique that can quickly identify the defluidization region is very important, avoiding loss of efficiency or even the necessity of shutting down the process. The purpose of the present work is to identify the defluidization region in a fluidized bed coating process using the Gaussian mean frequency, which is an alternative methodology based on pressure fluctuation analysis. Experiments were carried out in a Plexiglas column with a 0.143m in inner diameter and 0.71m in height, at a temperature of 70°C. Microcrystalline cellulose (MCC) of 325μm in diameter and an apparent density of 980kg/m3was used as fluidizing particles, which was coated by a suspension based on Eudragit®. All raw data sets of pressure in the plenum were collected at a sampling rate of 400Hz, considering 2048 data points. LabView® 7.1 software was used for all data acquisition and signal processing. The results showed that the defluidization region can be clearly identified using the methodology employed. It also could have a high potential in industrial applications, especially for on-line control in order to avoid the defluidization region and consequently the efficiency loss of a coating process.