Assessment of the TFM in predicting the onset of turbulent fluidization

Musango Lungu; Haotong Wang; Jingdai Wang; Ronald Ngulube; Yongrong Yang; Fengqiu Chen; John Siame

doi:10.1016/j.cjche.2018.08.029

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Assessment of the TFM in predicting the onset of turbulent fluidization

Fluid Dynamics and Transport Phenomena | Updated：2026-01-06

- Assessment of the TFM in predicting the onset of turbulent fluidization
- Assessment of the TFM in predicting the onset of turbulent fluidization
- 中国化学工程学报（英文版） 2019年27卷第5期页码：979-992
- Affiliations：
  
  1. State Key Laboratory of Chemical Engineering, College of Chemical and Biological Engineering, Zhejiang University,Hangzhou,China,310027
  2. Chemical Engineering Department, School of Mines and Mineral Sciences, Copperbelt University, Kitwe,Zambia,10101
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2018.08.029
  中图分类号：
- 纸质出版：2019
- Accepted：
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Musango Lungu, Haotong Wang, Jingdai Wang, 等. Assessment of the TFM in predicting the onset of turbulent fluidization[J]. 中国化学工程学报（英文版）, 2019,27(5):979-992.

Musango Lungu, Haotong Wang, Jingdai Wang, Ronald Ngulube, Yongrong Yang, Fengqiu Chen, John Siame. Assessment of the TFM in predicting the onset of turbulent fluidization[J]. Chinese Journal of Chemical Engineering, 2019, 27(5): 979-992.
Musango Lungu, Haotong Wang, Jingdai Wang, 等. Assessment of the TFM in predicting the onset of turbulent fluidization[J]. 中国化学工程学报（英文版）, 2019,27(5):979-992. DOI： 10.1016/j.cjche.2018.08.029.

Musango Lungu, Haotong Wang, Jingdai Wang, Ronald Ngulube, Yongrong Yang, Fengqiu Chen, John Siame. Assessment of the TFM in predicting the onset of turbulent fluidization[J]. Chinese Journal of Chemical Engineering, 2019, 27(5): 979-992. DOI： 10.1016/j.cjche.2018.08.029.

摘要

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

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.

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