4.7 Article

Unresolved CFD-DEM simulation of spherical and ellipsoidal particles in conical and prismatic spouted beds

Journal

POWDER TECHNOLOGY
Volume 389, Issue -, Pages 493-506

Publisher

ELSEVIER
DOI: 10.1016/j.powtec.2021.05.012

Keywords

CFD-DEM; Particle tracking velocimetry; Spouted bed; Draft tubes

Funding

  1. Spain's Ministries of Economy and Competitiveness [CTQ2016-75535-R]
  2. Science and Innovation [PDI2019-107357RB-I00]
  3. Basque Government [IT21819]
  4. University of the Basque Country UPV/EHU [PFI152017]

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Different drag models were implemented and validated for simulating spherical and ellipsoidal particles in spouted beds, with some models found to be more suitable for different particle shapes. The models were able to predict key operating parameters accurately and demonstrate the capability to predict particle orientation in the bed, which is crucial for the design of coating apparatuses in the pharmaceutical industry.
Various drag models were implemented in a superquadric CFD-DEM code and validated for the simulation of spherical and ellipsoidal particles in spouted beds. The most suitable drag models were identified by comparing the predicted local particle velocity with those measured by particle tracking velocimetry (PTV). The model by Beetstra et al. is the one that best reproduces the experimental results for the spouting of spherical particles, whereas the one by Sanjeevi et al. is the most suitable for ellipsoidal irregular ones. Their capability for the prediction of key operating parameters was demonstrated in both conical and prismatic spouted beds, as they correctly predict the minimum spouting velocity (u(ms)) and fountain height in different configurations (without draft tube and different draft tubes) for particles of different size and shape. The CFD-DEM model predicts the preferential orientation of ellipsoidal particles at each location in the bed and the influence of internal devices on this parameter, which is of the utmost importance in the design of reliable coating apparatuses in the pharmaceutical industry. (C) 2021 Elsevier B.V. All rights reserved.

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