SCI和EI收录∣中国化工学会会刊

Chinese Journal of Chemical Engineering ›› 2019, Vol. 27 ›› Issue (5): 979-992.DOI: 10.1016/j.cjche.2018.08.029

• Fluid Dynamics and Transport Phenomena •     Next Articles

Assessment of the TFM in predicting the onset of turbulent fluidization

Musango Lungu1,2, Haotong Wang1, Jingdai Wang1, Ronald Ngulube2, Yongrong Yang1, Fengqiu Chen1, John Siame2   

  1. 1 State Key Laboratory of Chemical Engineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China;
    2 Chemical Engineering Department, School of Mines and Mineral Sciences, Copperbelt University, 10101 Kitwe, Zambia
  • Received:2018-02-24 Revised:2018-08-25 Online:2019-06-27 Published:2019-05-28
  • Contact: Jingdai Wang
  • Supported by:
    Supported by the National Natural Science Foundation of China (91434205), the National Science Fund for Distinguished Young (21525627), the Natural Science Foundation of Zhejiang Province (LR14B060001) and the Specialized Research Fund for the Doctoral Program of Higher Education of China (20130101110063).

Assessment of the TFM in predicting the onset of turbulent fluidization

Musango Lungu1,2, Haotong Wang1, Jingdai Wang1, Ronald Ngulube2, Yongrong Yang1, Fengqiu Chen1, John Siame2   

  1. 1 State Key Laboratory of Chemical Engineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China;
    2 Chemical Engineering Department, School of Mines and Mineral Sciences, Copperbelt University, 10101 Kitwe, Zambia
  • 通讯作者: Jingdai Wang
  • 基金资助:
    Supported by the National Natural Science Foundation of China (91434205), the National Science Fund for Distinguished Young (21525627), the Natural Science Foundation of Zhejiang Province (LR14B060001) and the Specialized Research Fund for the Doctoral Program of Higher Education of China (20130101110063).

Abstract: Accurate prediction of the onset of turbulent fluidization still remains elusive owing to the dependence of the transition velocity on several factors including measurement methods and interpretation of results. In this work, numerical simulations using the two fluid model (TFM) are performed in an attempt to predict the regime change reported by Gopalan et al. (2016) in a small scale pseudo-2D gas-solid fluidized bed containing Geldart D particles. Various time and frequency domain analyses were applied on predicted absolute and differential pressure time series data to reveal the bed dynamics. Numerical predictions of the transition velocity, Uc are in reasonably good agreement with experimental results from the small scale challenge problem. The literature correlations completely fail to predict the transition velocity for the system considered in this work. This work thus provides a different approach for validating the CFD model against experimental measurements.

Key words: CFD, Fluidization, Regime identification, Slugging, Turbulent, Wavelet analysis

摘要: Accurate prediction of the onset of turbulent fluidization still remains elusive owing to the dependence of the transition velocity on several factors including measurement methods and interpretation of results. In this work, numerical simulations using the two fluid model (TFM) are performed in an attempt to predict the regime change reported by Gopalan et al. (2016) in a small scale pseudo-2D gas-solid fluidized bed containing Geldart D particles. Various time and frequency domain analyses were applied on predicted absolute and differential pressure time series data to reveal the bed dynamics. Numerical predictions of the transition velocity, Uc are in reasonably good agreement with experimental results from the small scale challenge problem. The literature correlations completely fail to predict the transition velocity for the system considered in this work. This work thus provides a different approach for validating the CFD model against experimental measurements.

关键词: CFD, Fluidization, Regime identification, Slugging, Turbulent, Wavelet analysis