Large Eddy Simulation of Turbulent Flow and Mixing Time in a Gas-Liquid Stirred Tank

被引:14
|
作者
Zhang, Qinghua [1 ]
Yang, Chao [1 ,2 ]
Mao, Zai-Sha [1 ]
Mu, Junjuan [3 ]
机构
[1] Chinese Acad Sci, Natl Key Lab Biochem Engn, Key Lab Green Proc & Engn, Inst Proc Engn, Beijing 100190, Peoples R China
[2] Jiangsu Marine Resources Dev Res Inst, Lianyungang 222005, Peoples R China
[3] Wison Engn Ltd, Beijing 100102, Peoples R China
基金
中国国家自然科学基金; 北京市自然科学基金;
关键词
DUAL RUSHTON TURBINES; NUMERICAL-SIMULATION; AXIAL-DISPERSION; CFD SIMULATION; VESSEL; HOMOGENIZATION; LES; HYDRODYNAMICS; DYNAMICS; REACTORS;
D O I
10.1021/ie202447n
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Mixing time is a key parameter relevant to the scale-up and design of agitated reactors. Although there have been many published papers on mixing times in stirred tanks predicted by computational fluid dynamics (CFD), there are few reports on the large eddy simulation (LES) based prediction of the mixing time in a gas liquid stirred tank. In this work, an LES method based on an Eulerian-Eulerian model is presented for predicting the mixing time in a gas liquid stirred tank agitated by a Rushton turbine. In order to verify the simulated results, mixing time experiments were carried out using a conductivity technique. In the present LES, the Smagorinsky subgrid scale model was used to model the effect of subgrid scale on the resolved scales. The concentration distributions and operating parameters such as feed positions, impeller speeds, and gas flow rates on the mixing time were examined. It is shown that the predicted concentration distributions of tracers are more irregular and realistic by using LES. Also, the mixing time decreases with the increase of impeller speed. However, with increasing gas flow rate, the mixing time first increases and then levels off. The predicted mixing time by the LES method shows good agreement with the measured values.
引用
收藏
页码:10124 / 10131
页数:8
相关论文
共 50 条
  • [31] Process Modelling of Gas-Liquid Stirred Tank with Neural Networks
    Phukon, Neha
    Sarmah, Mrigakshee
    Kumar, Bimlesh
    ENVIRONMENTAL POLLUTION, 2018, 77 : 501 - 511
  • [32] Numerical simulation of solid-liquid turbulent flow in a stirred tank with a two-phase explicit algebraic stress model
    Feng, Xin
    Li, Xiangyang
    Cheng, Jingcai
    Yang, Chao
    Mao, Zai-Sha
    CHEMICAL ENGINEERING SCIENCE, 2012, 82 : 272 - 284
  • [33] Large eddy simulation of turbulent flow around a windbreak
    Maruyama, T.
    JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2008, 96 (10-11) : 1998 - 2006
  • [34] Investigation of gas-liquid flow hydrodynamics in the industrial-scale stirred tank with inclined impeller
    Yuan, Haibin
    Yang, Shiliang
    Lai, Kui
    Xu, Wanli
    Tang, Duzuo
    Yang, Bin
    INTERNATIONAL JOURNAL OF CHEMICAL REACTOR ENGINEERING, 2025,
  • [35] Large-eddy simulation of turbulent cavitating flow in a micro channel
    Egerer, Christian P.
    Hickel, Stefan
    Schmidt, Steffen J.
    Adams, Nikolaus A.
    PHYSICS OF FLUIDS, 2014, 26 (08)
  • [36] Effects of impeller types on gas-liquid mixing and oxygen mass transfer in aerated stirred reactors
    Li, Dalin
    Chen, Wei
    PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2022, 158 : 360 - 373
  • [37] Electrical resistance tomography for gas holdup in a gas-liquid stirred tank reactor
    Sardeshpande, Madhavi V.
    Gupta, Suraj
    Ranade, Vivek V.
    CHEMICAL ENGINEERING SCIENCE, 2017, 170 : 476 - 490
  • [38] Assessment of stress-blended eddy simulation on prediction of flow characteristics in a Rushton impeller stirred tank
    Jia, Zhuotai
    Zhang, Shuaifeng
    Fang, Kefeng
    Kong, Bo
    Xie, Minghui
    Zhang, Qinghua
    Yang, Chao
    CHEMICAL ENGINEERING SCIENCE, 2024, 284
  • [39] Numerical Simulation of Internal Flow Field in Optimization Model of Gas-Liquid Mixing Device
    Chen, Hongyu
    Zhang, Jie
    Ji, Yun
    Zhou, Jiawei
    Hu, Weibo
    PROCESSES, 2024, 12 (08)
  • [40] Gas Holdup in Gas-Liquid Stirred Tanks
    Mueller, Sean G.
    Dudukovic, Milorad P.
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2010, 49 (21) : 10744 - 10750