Volume 94
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Adnan, M., Ahmad, N., Piumsomboon, P., & Chalermsinsuwan, B. (2024). Sensitivity analysis of a dense discrete phase model for 3D simulations of a tapered fluidized bed. Particuology, 94, 59-83. https://doi.org/10.1016/j.partic.2024.07.019
Sensitivity analysis of a dense discrete phase model for 3D simulations of a tapered fluidized bed
Muhammad Adnan a b, Nouman Ahmad b, Pornpote Piumsomboon a, Benjapon Chalermsinsuwan a c *
a Fuel Research Center, Department of Chemical Technology, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand
b School of Chemical and Materials Engineering, National University of Sciences and Technology, Islamabad, 44000, Pakistan
c Advanced Computational Fluid Dynamics Research Unit, Chulalongkorn University, Bangkok, 10330, Thailand
10.1016/j.partic.2024.07.019
Volume 94, November 2024, Pages 59-83
Received 12 June 2024, Revised 25 July 2024, Accepted 26 July 2024, Available online 2 August 2024, Version of Record 10 August 2024.
E-mail: benjapon.c@chula.ac.th

Highlights

• 3D sub-models and modeling parameters are compared based on DDPM.

• Drag force and restitution coefficient significantly impact hydrodynamics model.

• Tenneti, Koch and Hill, Di Felice, and Beetstra drag models are included using UDFs.

• Performance of the 3D numerical model is optimized based on sensitivity analysis.

Abstract

This study aims to conduct a sensitivity analysis of closure models and modeling parameters for the Dense Discrete Phase Modeling (DDPM) approach in order to investigate the hydrodynamics of a 3D lab-scale Tapered Fluidized Bed (TFB). The closure models and model parameters under investigation include the gas-solid drag force, viscous models, particle-particle interaction models, restitution coefficient, specularity coefficient, and rebound coefficient. The primary objective of this sensitivity analysis is to optimize the numerical model's performance. The numerical results, in terms of axial and lateral Solid Volume Fraction (SVF) profiles obtained from the sensitivity analysis, indicate that the drag force and restitution coefficient significantly influence the hydrodynamics of the TFB. Properly selecting these parameters could result in the improved performance of the numerical model. However, the sensitivity of turbulence models, particle-particle interaction models, specularity coefficient, and rebound coefficient has a lesser impact on the hydrodynamics results. This work concludes with the recommendation of a set of closure models and modeling parameters that offer the most accurate prediction of the hydrodynamics of the TFB.

Graphical abstract
Keywords
Sensitivity analysis; Dense discrete phase model; Sub-models; Modeling parameters; Tapered fluidized bed; Hydrodynamics