Development and validation of an enhanced filtered drag model for simulating gas-solid fluidization of Geldart A particles in all flow regimes

被引:150
|
作者
Gao, Xi [1 ]
Li, Tingwen [1 ,2 ]
Sarkar, Avik [3 ]
Lu, Liqiang [1 ]
Rogers, William A. [1 ]
机构
[1] Natl Energy Technol Lab, Morgantown, WV 26507 USA
[2] AECOM, Morgantown, WV 26505 USA
[3] Pfizer Inc, Groton, CT 06340 USA
关键词
Fluidization; Hydrodynamics; Drag model; Computational fluid dynamics; MFiX; RESIDENCE TIME DISTRIBUTION; COMPUTATIONAL FLUID-DYNAMICS; DIRECT NUMERICAL-SIMULATION; WALL BOUNDARY-CONDITIONS; CFD SIMULATION; SPECULARITY COEFFICIENT; EULERIAN SIMULATION; MULTISCALE CFD; BED REACTOR; 2-FLUID MODELS;
D O I
10.1016/j.ces.2018.03.038
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Coarse-grid two-fluid simulation of gas-solid fluidized bed reactors based on the kinetic theory of granular flow exhibits a significant dependence on drag models, especially for Geldart A particles. Many drag models are available in the literature, which have been reported to work for different systems. This study focused on the evaluation of an enhanced filtered drag model along with other different drag models derived from different methods for three-dimensional two-fluid model simulations of gas-solid fluidized beds of Geldart A particles covering a broad range of fluidization regimes, including bubbling fluidization, turbulent fluidization, fast fluidization, and dilute phase transport regimes. Eight drag models were selected, which included five heterogeneous drag models and three homogeneous drag models. Comparison with the available experimental data demonstrates the need for modification of homogeneous drag models to account for the effect of mesoscale structures (i.e., bubbles and clusters). The enhanced filtered drag model and energy-minimization multi-scale (EMMS) drag models were found to achieve superior predictions in all fluidization regimes, while the other drag models were only capable of predicting certain fluidization regimes. The results of this work provide a guideline for choosing appropriate drag models for simulating Geldart A particles and suggestions on developing more reliable and general drag models applicable in all flow regimes. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:33 / 51
页数:19
相关论文
共 50 条
  • [21] Research on the generalization issue of the heterogeneous QC-EMMS drag model for gas-solid fluidization
    Zhao, Jingyu
    Liu, Yang
    Qi, Haiying
    POWDER TECHNOLOGY, 2024, 444
  • [22] Electrical Capacitance Volume Tomography for Characterization of Gas-Solid Slugging Fluidization with Geldart Group D Particles under High Temperatures
    Wang, Dawei
    Xu, Mingyuan
    Marashdeh, Qussai
    Straiton, Benjamin
    Tong, Andrew
    Fan, Liang-Shih
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2018, 57 (07) : 2687 - 2697
  • [23] Cluster-based drag coefficient model for simulating gas-solid flow in a fast-fluidized bed
    Zou, L. M.
    Guo, Y. C.
    Chan, C. K.
    CHEMICAL ENGINEERING SCIENCE, 2008, 63 (04) : 1052 - 1061
  • [24] Two-fluid Modeling of Geldart A Particles in Gas-solid Bubbling Fluidized Bed: Assessment of Drag Models and Solid Viscosity Correlations
    Tian, Tian
    Jia, Zhengrui
    Geng, Shujun
    Liu, Xiaoxing
    INTERNATIONAL JOURNAL OF CHEMICAL REACTOR ENGINEERING, 2018, 16 (03)
  • [25] Gas-solid flow in a high-density circulating fluidized bed riser with Geldart group B particles
    Chang, Jian
    Zhang, Kai
    Zhu, Wenqi
    Yang, Yongping
    PARTICUOLOGY, 2016, 29 : 103 - 109
  • [26] A critical validation study on CPFD model in simulating gas-solid bubbling fluidized beds
    Liang, Yongshi
    Zhang, Yongmin
    Li, Tingwen
    Lu, Chunxi
    POWDER TECHNOLOGY, 2014, 263 : 121 - 134
  • [27] CFD-DEM simulation of polydisperse gas-solid flow of Geldart A particles in bubbling micro-fluidized beds
    Li, Shijiao
    Zhao, Peng
    Xu, Ji
    Zhang, Li
    Wang, Junwu
    CHEMICAL ENGINEERING SCIENCE, 2022, 253
  • [28] Gas-solid Flow Behaviors in a Pressurized Multi-stage Circulating Fluidized Bed with Geldart Group B Particles
    Nie, Wei
    Feng, Rongtao
    Li, Junguo
    Hao, Zhenhua
    Zhan, Haijuan
    Cheng, Zhonghu
    Fang, Yitian
    INTERNATIONAL JOURNAL OF CHEMICAL REACTOR ENGINEERING, 2019, 17 (12)
  • [29] Simulation gas-solid flow in the downer with new structure-based drag model
    Chen, Hengzhi
    Gu, Sumin
    Li, Hongzhong
    POWDER TECHNOLOGY, 2018, 323 : 163 - 175
  • [30] A direct solution to multi-objective optimization: Validation in solving the EMMS model for gas-solid fluidization
    Zhang, Lin
    Chen, Jianhua
    Huang, Wenlai
    Li, Jinghai
    CHEMICAL ENGINEERING SCIENCE, 2018, 192 : 499 - 506