Volume 47
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Liu, W., Li, H., Zhu, Q., & Hu, C. (2019). Sensitivity analysis of mesoscale structural parameters for simulation of fluidized beds. Particuology, 47, 77-93. https://doi.org/10.1016/j.partic.2019.07.008
Sensitivity analysis of mesoscale structural parameters for simulation of fluidized beds
Wenming Liu a b c, Hongzhong Li b *, Qingshan Zhu b c *, Chaoquan Hu b
a Sinopec Research Institute of Petroleum Processing, Beijing 100083, China
b State Key Laboratory of Multi-Phase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, P.O. Box 353, Beijing 100190, China
c University of Chinese Academy of Sciences, Beijing 100049, China
10.1016/j.partic.2019.07.008
Volume 47, December 2019, Pages 77-93
Received 13 August 2017, Accepted 8 July 2019, Available online 21 October 2019, Version of Record 7 December 2019.
E-mail: hzli@ipe.ac.cn; qszhu@ipe.ac.cn

Highlights

• Structural parameter sensitivity in three typical fluidized bed regimes is analyzed.

• Drag coefficients are sensitive to structural parameters in the dense phase.

• TC-SP drag model has been simplified based on the sensitivity analysis.

• Simplified TC-SP drag model simulates the fluidized bed with improved accuracy.


Abstract

This study presents new numerical drag models with which to analyze the sensitivity of mesoscale structural parameters in bubbling, turbulent, and circulating fluidized beds. The drag models are derived using the method of transfer-coefficient-based structural parameters (TC-SP). Analyzing the sensitivity of the structural parameters reveals that the coefficients associated with drag are more sensitive to parameters in the dense phase than to those in the dilute phase, especially the superficial slip velocity. On the basis of these results, the TC-SP drag model is simplified further. Interestingly, despite having half the number of parameters of conventional structure-based drag models, the simplified TC-SP drag model achieves simulation results that are equally or more accurate. With simple calculations and improved accuracy using coarse grids, the model reported in this study is capable of predicting the hydrodynamics of the three types of fluidized beds.

Graphical abstract
Keywords
Fluidization; Simulation; Sensitivity analysis; Dense phase; Drag