Hydrodynamic modeling strategy for dense to dilute gas–solid fluidized beds--颗粒学报PARTICUOLOGY

Kia, S. A., & Aminian, J. (2017). Hydrodynamic modeling strategy for dense to dilute gas–solid fluidized beds. Particuology, 31, 105-116. https://doi.org/10.1016/j.partic.2016.06.004

Hydrodynamic modeling strategy for dense to dilute gas–solid fluidized beds

Seyed Ahmad Kia, Javad Aminian ^*

Faculty of Mechanical and Energy Engineering, Shahid Beheshti University, A.C., Tehran, Iran

10.1016/j.partic.2016.06.004

Volume 31, April 2017, Pages 105-116

Received 20 August 2015, Revised 12 April 2016, Accepted 13 June 2016, Available online 9 November 2016, Version of Record 9 March 2017.

E-mail: j_aminian@sbu.ac.ir

Highlights

• Drag–viscosity models were evaluated for predicting gas–solid fluidized bed characteristics.

• Modeling strategy was proposed to simulate bed behavior in dense and dilute flow regimes.

• The prescribed modeling strategy was validated using three various experimental data sets.

Abstract

When investigating the hydrodynamic behavior of gas–solid flow systems, there are several options for the drag function, viscosity model, and other parameters. The low accuracy obtained with a random trial and error modeling strategy has led researchers to develop new drag models that are fine-tuned for their specific studies. However, besides the drag functions, an appropriate viscosity model together with radial distribution function have a great impact on the hydrodynamic modeling of fluidized beds. In this study, a detailed validation and verification task is conducted using three different experimental datasets to derive a modeling strategy for predicting hydrodynamic behavior in dense to dilute flow regimes of various fluidized beds. For this purpose, the steady-state Reynolds-averaged Navier–Stokes equations are solved in a finite volume scheme using the twoPhaseEulerFoam solver in the OpenFOAM 2.1.1 software. A comparative study of different drag and viscosity models enables an optimal modeling strategy to be determined for the accurate prediction of the bed pressure drop, bed expansion ratio, time-averaged solid hold-up, and bed height in various dense and dilute flow regimes. Our results show that the modeling strategy prescribed in this study is widely applicable for identifying the hydrodynamic characteristics of various gas–solid fluidized beds with different operating conditions.

Graphical abstract

Keywords

Modeling strategy; Hydrodynamic behavior; Fluidized bed; OpenFOAM; Drag–viscosity model

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