A material-property-dependent sub-grid drag model for coarse-grained simulation of 3D large-scale CFB risers
A material-property-dependent sub-grid drag model for coarse-grained simulation of 3D large-scale CFB risers
复制标题
用于 3D 大型 CFB 立管粗粒度模拟的材料属性相关子网格阻力模型
DOI：
10.1016/j.ces.2019.04.026
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发表时间：
2019-08
影响因子：
4.7
通讯作者：
Zheng-Hong Luo
中科院分区：
文献类型：
--
作者：
Li-Tao Zhu;Yuan-Xing Liu;Jia-XunTang;Zheng-Hong Luo
开发、验证和验证子网格方法对于实现快速气态化流动的精确粗粒两相流动模拟具有重要意义。然而，到目前为止，很少有文献研究亚格子修饰是如何依赖于材料性质的。作为前述子网格工作的扩展，这一基础研究试图基于从周期性气体-颗粒悬浮的初始均匀状态产生的数据来推导与材料性质相关的阻力修正。然后用高分辨率的双流体模拟结果对新建立的模型进行了验证。我们通过对实验结果的系统评估，进一步验证了模型预测的准确性，这些实验结果涵盖了五个三维大型循环流化床(CFB)提升管中各种材料的性质。此外，我们引入偏差指数(DI)来量化扩展模型的预测能力。计算结果表明，阻力修正本质上依赖于材料性质作为一个附加因素。水动力验证预报与试验结果吻合较好。目前的模型有可能成为一种更通用的工具，以有效地减少中试试验的数量，并有效地设计和控制工业过程设备。
Developing, verifying and validating sub-grid methods is of crucial significance for enabling accurate coarse-grained two-fluid modeling of rapid gas-fluidized flows. However, very few studies in the literature so far have been focused on how the sub-grid modification depends on material properties. As an extension of previous sub-grid efforts, this fundamental investigation attempts to derive a material-property-dependent drag modification based on generated data from an initially homogeneous state of periodic gas-particle suspensions. The newly constituted model is then verified by highly-resolved two-fluid simulation results. We further validate the accuracy of model predictions via systematic assessments to experimental results that encompass a wide variety of material properties in five three-dimensional large-scale circulating fluidized bed (CFB) risers. Besides, we introduce a deviation index (DI) to quantify the predictive capability of the extended model. Computational results demonstrate an essential dependence of drag correction on material properties as an additional factor. Hydrodynamic validation predictions achieve satisfactory accordance with experiments. The current model is potential to serve as a more general tool for efficiently reducing the number of pilot-scale tests and effectively designing and controlling industrial process devices.
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影响因子：
5.2
作者：
Tingwen Li;K. Pougatch;M. Salcudean;D. Grecov
通讯作者：
Tingwen Li;K. Pougatch;M. Salcudean;D. Grecov
影响因子：
15.1
作者：
S. Schneiderbauer;S. Puttinger;S. Pirker;P. Aguayo;Vasileios Kanellopoulos
通讯作者：
S. Schneiderbauer;S. Puttinger;S. Pirker;P. Aguayo;Vasileios Kanellopoulos
通过子网格建模实现湍流流化的有效三标记阻力模型
影响因子：
4.7
作者：
Li-Tao Zhu;Yuan-Xing Liu;Zheng-Hong Luo
通讯作者：
Zheng-Hong Luo
影响因子：
3.7
作者：
W. Fullmer;C. Hrenya
通讯作者：
W. Fullmer;C. Hrenya
影响因子：
4.7
作者：
Schalk Cloete;J. Cloete;S. Amini
通讯作者：
Schalk Cloete;J. Cloete;S. Amini