Capability assessment of coarse-grid simulation of gas-particle riser flow using sub-grid drag closures

被引:25
作者
Zhu, Li-Tao [1 ]
Yang, Ya-Nan [1 ]
Pan, De-Tao [1 ]
Luo, Zheng-Hong [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Chem & Chem Engn, Dept Chem Engn, State Key Lab Met Matrix Composites, Shanghai 200240, Peoples R China
基金
中国国家自然科学基金;
关键词
Computational fluid dynamics; Mesoscale riser flow; Sub-grid drag model; Coarse-grid simulation; Capability assessment; FILTERED 2-FLUID MODELS; BOUNDARY-CONDITIONS; HEAT-TRANSFER; SOLID FLOWS; INDEPENDENCE BEHAVIOR; NUMERICAL-SIMULATION; CFD SIMULATIONS; VALIDATION; FLUID; VERIFICATION;
D O I
10.1016/j.ces.2019.115410
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Our prior work developed an effective material-property-dependent sub-grid model (SGM) for efficient coarse-grid riser flow simulations. To apply this SGM for the purpose of designing and scaling-up riser reactors reliably, quantitative assessment in its predictive capability is required. Here, we quantify the influence of various model parameters with respect to time-averaging, grid resolution, time step, discretization scheme for convection terms, and solid-wall slip condition by implementing extensive three-dimensional coarse-grid simulations. Moreover, we compare several crucial SGM-based coarse-grid and coarse-grained methods to reveal their advantages and disadvantages. Detailed parametric sensitivity analyses demonstrate that the accurate determination of SGM appears to play a dominant role in successfully predicting hydrodynamics. The optimal selection of the other model parameters is suggested to realize a compromise between computation speed and accuracy. Overall, this fundamental study helps to quantitatively understand the predictability of SGMs for coarse-grid simulations of large-scale riser reactors. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页数:16
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