CFD-DEM simulations of a fluidized bed crystallizer
CFD-DEM simulations of a fluidized bed crystallizer
复制标题
DOI：
10.1016/j.ces.2017.01.068
复制
发表时间：
2017-06
影响因子：
4.7
通讯作者：
K. Kerst;C. Roloff;L.G.M. de Souza;Antje Bartz;A. Seidel-Morgenstern;D. Thévenin;G. Janiga
中科院分区：
文献类型：
--
作者：
K. Kerst;C. Roloff;L.G.M. de Souza;Antje Bartz;A. Seidel-Morgenstern;D. Thévenin;G. Janiga
在本研究中，流化床结晶器中的两相流动的重要特征进行了检查，通过数值计算和同伴实验。使用耦合CFD-DEM方法（CFD：计算流体动力学; DEM：离散元方法）进行模拟。在验证用于此目的的开源CFD-DEM软件工具后，已确定结晶器内具有不利流体动力学特征的区域，从而对工艺结果产生负面影响。这首先是通过单相CFD模拟完成的。然后，经过验证的CFD-DEM模型提供了有价值的信息，这些信息很难甚至不可能通过实验以足够的精度测量，例如结晶器内流化晶体的速度和位置。由于模拟在计算上具有挑战性，因此必须在模拟过程时间和模拟颗粒数量之间找到折衷。CFD-DEM模拟不是用来模拟整个结晶过程，而是用来详细研究一个很短的时间窗口。相应的研究结果证实，适当的流化的晶体支持在一个平行的项目进行的模型简化。
In the present study, important features of the two-phase flow in a fluidized bed crystallizer are examined by numerical computations and companion experiments. The simulations are carried out using a coupled CFD-DEM approach (CFD: Computational Fluid Dynamics; DEM: Discrete Element Method). After validating an open-source CFD-DEM software tool for this purpose, regions within the crystallizer with unfavorable hydrodynamic features and thus a negatively impacted process outcome have been identified. This was first accomplished by single-phase CFD simulations. Then, the validated CFD-DEM model delivers valuable information that is difficult or even impossible to measure experimentally with sufficient accuracy, such as the velocity and position of fluidized crystals within the crystallizer.Since the simulations are computationally challenging, a compromise between simulated process time and number of simulated particles must be found. Hence, the CFD-DEM simulations are not utilized to simulate the whole crystallization process, but to examine a short time-window in detail. Corresponding findings confirm proper fluidization of the crystals support the model reduction carried out in a parallel project.