Discrete element method for multiscale modeling
Discrete element method for multiscale modeling
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DOI：
10.1142/s1756973710000254
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发表时间：
2010-03
影响因子：
1.5
通讯作者：
J. Bruchmüller;S. Gu;K. Luo;B. Wachem
中科院分区：
文献类型：
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作者：
J. Bruchmüller;S. Gu;K. Luo;B. Wachem
离散元法 (DEM) 已被开发出来，可以提供拉格朗日粒子相的高度准确和详细的预测。特别是在这项研究中，DEM 与流体相的欧拉方法一起使用，以在多相多尺度建模方法中观察相间交换现象。选择了流化床咖啡豆烘焙机内的干燥工艺。在此，热量、质量和动量传递在流体细胞水平上得到解决；热、质量和动量传递系数在粒子尺度水平上求解；一维温度和水分含量分布在每颗咖啡豆内部的亚颗粒尺度上得到解决。因此，与现有的咖啡豆烘焙机模型相比，这种多尺度方法提供了更多信息。在这项工作中，提供了该方法的详细描述，并讨论了不同规模水平的结果。模型数据和实验结果进行了比较，发现非常吻合。
A discrete element method (DEM) has been developed to provide highly accurate and detailed predictions of the Lagrangian particle phase. Especially in this study, DEM has been used together with an Eulerian approach for the fluid phase to look at interphase exchange phenomena in a multiphase-multiscale modeling approach. The drying process inside a fluidized bed coffee bean roaster has been chosen. Herein, heat, mass, and momentum transport are solved on a fluid cell level; heat, mass, and momentum transfer coefficients are solved at a particle scale level; and 1D temperature and moisture content profiles are solved inside each coffee bean on a sub-particle scale level. Therefore, this multiscale approach provides much more information compared to existing coffee bean roaster models. In this work, a detailed description of this method is provided and results on different scale levels have been discussed. Modeling data and experimental results are compared and found to be in good agreement.