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首页> 外文期刊>Chemical Engineering & Technology: Industrial Chemistry -Plant Equipment -Process Engineering -Biotechnology >Using the Discrete Element Method for Predicting the Mixing Behavior of Gravity Blenders in Different Operation Modes
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Using the Discrete Element Method for Predicting the Mixing Behavior of Gravity Blenders in Different Operation Modes

机译:使用离散元方法预测重力搅拌机在不同运行模式下的混合行为

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摘要

The application of residence time density distributions gained with discrete element method (DEM) simulations for predicting the mixing behavior of gravity blenders in different operation modes is presented. Knowing these distributions, the performance of a blender can be predicted during different blending tasks in continuous and discontinuous operation mode. Up to now, the residence time distributions needed for these predictions could only be measured. It will be explained how a gravity blender containing more than 1 million of particles is mapped to simulation considering the computational effort as well as the quantitative validity of the results. Based on these data, the discontinuous blending behavior is predicted. The results indicate good agreement between simulations and experimental data and can serve as a basis for designing gravity blenders.KBulk mechanics;; Discrete element method;; Gravity blending;; Simulations
机译:提出了利用离散元方法(DEM)模拟获得的停留时间密度分布在预测重力搅拌机在不同运行模式下的混合行为的应用。知道了这些分布,可以在连续和不连续操作模式下的不同混合任务期间预测混合机的性能。到目前为止,只能预测这些预测所需的停留时间分布。将说明考虑到计算量以及结果的定量有效性,如何将包含超过一百万个粒子的重力混合器映射到模拟。基于这些数据,可以预测不连续的混合行为。结果表明,仿真与实验数据吻合良好,可作为重力搅拌机设计的基础。离散元法;重力混合;模拟

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