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CFD-DEM-DDM 模型在瓦尔特式包衣机喷雾包衣过程中的应用。

CFD-DEM -DDM Model for Spray Coating Process in a Wurster Coater.

机构信息

School of Chemical Engineering, The University of Adelaide, Adelaide, SA 5005, Australia.

School of Chemical Engineering, The University of Adelaide, Adelaide, SA 5005, Australia; Amgen Bioprocessing Centre, Keck Graduate Institute, Claremont, CA 91711, USA.

出版信息

J Pharm Sci. 2020 Dec;109(12):3678-3689. doi: 10.1016/j.xphs.2020.09.032. Epub 2020 Sep 29.

Abstract

A multiscale model by coupling computational fluid dynamics (CFD) with a discrete element model (DEM) and discrete droplet model (DDM) is developed to simulate a lab-scale Wurster coater. Two case studies are conducted to study the effect of particle shape in the system. In the first case study, 45,000 spherical particles are coated for 5 s while for the second case study, a mixture of 22,500 spherical particles and 22,500 cylindrical particles is simulated. The residence time distributions (RTD) of particles in different spray zones are compared, and the best spray zone is derived by analysing the positions of spray droplet-particle contacts. The simulation results show that the RTD of the particles within an accurate spray zone can provide valuable information on the final product's particles size distribution. Furthermore, the coefficient of variation (COV) for the coating mass received by the particles is studied for both case studies.

摘要

开发了一种通过将计算流体动力学 (CFD) 与离散元素模型 (DEM) 和离散液滴模型 (DDM) 耦合的多尺度模型来模拟实验室规模的 Wurster 包衣机。进行了两项案例研究来研究系统中颗粒形状的影响。在第一项案例研究中,对 45000 个球形颗粒进行了 5 秒的包衣,而在第二项案例研究中,模拟了 22500 个球形颗粒和 22500 个圆柱形颗粒的混合物。比较了不同喷雾区颗粒的停留时间分布 (RTD),并通过分析喷雾液滴-颗粒接触的位置得出了最佳喷雾区。模拟结果表明,在精确的喷雾区内的颗粒的 RTD 可以提供有关最终产品颗粒尺寸分布的有价值的信息。此外,还研究了两个案例研究中颗粒所接收的涂层质量的变异系数 (COV)。

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