Mesoscale-structure-based dynamic multiscale method for gas-solid flow

被引:22
作者
Chen, Xizhong [1 ]
Wang, Junwu [1 ]
机构
[1] Chinese Acad Sci, Inst Proc Engn, State Key Lab Multiphase Complex Syst, POB 353, Beijing 100190, Peoples R China
基金
中国国家自然科学基金;
关键词
Two-fluid model; Discrete particle model; Dynamic multiscale method; Gas-solid flows; Mesoscale structures; Multiscale simulation; DISCRETE PARTICLE SIMULATION; DIRECT NUMERICAL-SIMULATION; LATTICE BOLTZMANN SIMULATIONS; COMPUTATIONAL FLUID-DYNAMICS; ATOMISTIC-CONTINUUM METHODS; KINETIC-THEORY; EULERIAN SIMULATION; 2-FLUID MODEL; MASS-TRANSFER; HYBRID MODEL;
D O I
10.1016/j.ces.2018.08.019
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Multiscale methods have recently underpinned the successful simulation of gas-solid flow. In our prior study (Chen and Wang, AIChE Journal, 2017, 63: 3681-3691), a dynamic multiscale method (DMM) has been proposed to concurrently couple different simulation models in different simulation domains where discrete particle model (DPM) is used in the near wall regions and the rest of simulation domain is solved by two-fluid model (TFM). In this study, a mesoscale-structure-based mapping method was further proposed and implemented into the framework of DMM. The recently developed EMMS-based particle velocity distribution function (Wang et al., AIChE Journal, 2016, 62: 2649-2657), which was derived by assuming that there is a two-phase structure in a computational grid, was used for mapping between different models. In addition, the stability condition of the EMMS model was undertaken to locate the newly inserted particles during the boundary mapping process from the TFM to the DPM. The simulation results of gas-solid flow in a riser containing Geldart B particles using the proposed DMM have compared with those of using the full TFM and full DPM, which verifies its fidelities. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:864 / 881
页数:18
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