A multiscale model is presented for predicting the magnitude and rate of powder blending in a rotating drum blender. The model combines particle diffusion coefficient correlations from the literature with advective flow field information from blender finite element method simulations. The multiscale model predictions for overall mixing and local concentration variance closely match results from discrete element method (DEM) simulations for a rotating drum, but take only hours to compute as opposed to taking days of computation time for the DEM simulations. Parametric studies were performed using the multiscale model to investigate the influence of various parameters on mixing behavior. The multiscale model is expected to be more amenable to predicting mixing in complex geometries and scale more efficiently to industrial‐scale blenders than DEM simulations or analytical solutions. © 2018 American Institute of Chemical Engineers AIChE J, 64: 3277–3292, 2018

中文翻译：

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使用有限元方法和对流扩散方程多尺度模型对转鼓中的颗粒物料混合建模

提出了一种多尺度模型，用于预测旋转鼓式混合机中粉末混合的幅度和速率。该模型将文献中的粒子扩散系数相关性与搅拌器有限元方法模拟中的对流流场信息相结合。整体混合和局部浓度方差的多尺度模型预测与旋转鼓的离散元素方法（DEM）模拟的结果非常匹配，但是仅需花费数小时即可计算，而用DEM模拟要花费数天的计算时间。使用多尺度模型进行了参数研究，以研究各种参数对混合行为的影响。与DEM模拟或分析解决方案相比，多尺度模型有望更适合预测复杂几何形状中的混合，并更有效地扩展到工业规模的搅拌机。©2018美国化学工程师学会AIChE J，64：3277–3292，2018