Determination of coalescence kernels for high-shear granulation using DEM simulations
Determination of coalescence kernels for high-shear granulation using DEM simulations
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DOI：
10.1016/j.powtec.2006.08.002
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发表时间：
2006-12-06
影响因子：
5.2
通讯作者：
Gatzke, Edward P.
中科院分区：
文献类型：
--
作者：
Gantt, Justin A.;Cameron, Ian T.;Gatzke, Edward P.
离散元法（DEM）建模与可变形表面湿颗粒聚结模型并行使用。这产生了一种能够预测碰撞率和聚结效率的方法，用于推导整体聚结核。然后，这些合并内核可以用于计算效率高的中尺度模型，如人口平衡方程（PBE）模型。采用周期性边界条件和独特的装箱方案，采用软球离散元模型模拟高剪切混合器内的颗粒流动。模拟结果分析提供了碰撞频率，聚集频率，动能，聚结效率和压实速率的造粒过程。该信息可用于弥合微尺度DEM/聚结建模方法和中尺度PBE建模方法之间的造粒过程的多尺度建模中的差距。(c)2006 Elsevier B. V.保留所有权利。
Discrete element method (DEM) modeling is used in parallel with a model for coalescence of deformable surface wet granules. This produces a method capable of predicting both collision rates and coalescence efficiencies for use in derivation of an overall coalescence kernel. These coalescence kernels can then be used in computationally efficient meso-scale models such as population balance equation (PBE) models. A soft-sphere DEM model using periodic boundary conditions and a unique boxing scheme was utilized to simulate particle flow inside a high-shear mixer. Analysis of the simulation results provided collision frequency, aggregation frequency, kinetic energy, coalescence efficiency and compaction rates for the granulation process. This information can be used to bridge the gap in multi-scale modeling of granulation processes between the micro-scale DEM/coalescence modeling approach and a meso-scale PBE modeling approach. (c) 2006 Elsevier B.V. All rights reserved.