Quantitative assessment of fine-grid kinetic-theory-based predictions of mean-slip in unbounded fluidization
Quantitative assessment of fine-grid kinetic-theory-based predictions of mean-slip in unbounded fluidization
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DOI：
10.1002/aic.15052
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发表时间：
2016
期刊：
影响因子：
3.7
通讯作者：
W. Fullmer;C. Hrenya
中科院分区：
文献类型：
--
作者：
W. Fullmer;C. Hrenya
通过高分辨率的模拟，证明了基于动力学理论的双流体模型在聚类（不稳定）气固系统中的定量能力。与以前的工作不同，该评估是根据理想的计算流体动力学离散元方法数据进行验证的，以尽量减少差异的来源。总的来说，在平均固体浓度为0.02-0.25的范围内，观察到的平均滑移速度的相对误差小于20%。局部浓度梯度分布也进行了研究，表明在较高的平均固体浓度下，梯度明显向更高的方向转移，这被认为是获得网格独立性的瓶颈，而不是簇长尺度。©2015美国化学工程师学会，2015
Significance The quantitative ability of a kinetic-theory-based, two-fluid model is demonstrated in a clustering (unstable) gas-solid system via highly resolved simulations. Unlike previous works, this assessment is validated against ideal computational fluid dynamics-discrete element method data to minimize sources of discrepancy. Overall, good agreement in mean-slip velocities is observed with relative errors less than 20% over a mean solids concentration range of 0.02–0.25. Local concentration gradient distributions are also studied, showing a distinct shift toward higher gradients at higher mean solids concentrations which is proposed as the bottleneck in obtaining grid-independence rather than the cluster length scale. © 2015 American Institute of Chemical Engineers AIChE J, 2015