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Comparing ANSYS Fluent® and OpenFOAM® simulations of Geldart A, B and D bubbling fluidized bed hydrodynamics

Cesar Martin Venier (Research Center for Computational Methods (CIMEC-CONICET, National University of the Littoral), CCT CONICET Santa Fe, Argentina and School of Mechanical Engineering, Faculty of Exact Sciences, Engineering and Surveying, National University of Rosario, Santa Fe, Argentina)
Andrés Reyes Urrutia (Institute for Research and Development in Process Engineering, Biotechnology and Alternative Energies (PROBIEN, CONICET – National University of Comahue), CCT CONICET Patagonia Confluencia, Neuquen, Argentina)
Juan Pablo Capossio (Institute for Research and Development in Process Engineering, Biotechnology and Alternative Energies (PROBIEN, CONICET – National University of Comahue), CCT CONICET Patagonia Confluencia, Neuquen, Argentina)
Jan Baeyens (Beijing University of Chemical Technology, Beijing Advanced Innovation Centre for Soft Matter and Engineering, Beijing, China)
Germán Mazza (Institute for Research and Development in Process Engineering, Biotechnology and Alternative Energies (PROBIEN, CONICET – National University of Comahue), CCT CONICET Patagonia Confluencia, Neuquen, Argentina)

International Journal of Numerical Methods for Heat & Fluid Flow

ISSN: 0961-5539

Article publication date: 25 September 2019

Issue publication date: 15 January 2020

786

Abstract

Purpose

The purpose of this study is to assess the performance of ANSYS Fluent® and OpenFOAM®, at their current state of development, to study the relevant bubbling fluidized bed (BFB) characteristics with Geldart A, B and D particles.

Design/methodology/approach

For typical Geldart B and D particles, both a three-dimensional cylindrical and a pseudo-two-dimensional arrangement were used to measure the bed pressure drop and solids volume fraction, the latter by digital image analysis techniques. For a typical Geldart A particle, specifically to examine bubbling and slugging phenomena, a 2 m high three-dimensional cylindrical arrangement of small internal diameter was used. The hydrodynamics of the experimentally investigated BFB cases were also simulated for identical geometries and operating conditions using OpenFOAM® v6.0 and ANSYS Fluent® v19.2 at identical mesh and numerical setups.

Findings

The comparison between experimental and simulated results showed that both ANSYS Fluent® and OpenFOAM® provide a fair qualitative prediction of the bubble sizes and solids fraction for freely-bubbling Geldart B and D particles. For Geldart A particles, operated in a slugging mode, the qualitative predictions are again quite fair, but numerical values of relevant slug characteristics (length, velocity and frequency) slightly favor the use of OpenFOAM®, despite some deviations of predicted slug velocities.

Originality/value

A useful comparison of computational fluid dynamics (CFD) software performance for different fluidized regimes is presented. The results are discussed and recommendations are formulated for the selection of the CFD software and models involved.

Keywords

Acknowledgements

This work was supported by the ANPCyT (Argentina), PICT Projects 2014-2078 and 2016-2908 and CONICET. It was also part of research projects supported by the universities of Comahue, Rosario and Litoral. A. Reyes Urrutia and C. M. Venier are Postdoctoral Fellows of CONICET (Argentina). G. Mazza is research member of CONICET (Argentina). J. Baeyens acknowledges funding from the Beijing Advanced Innovation Center for Soft Matter and Engineering. Lic. Lucas Cavaliere (PROBIEN, CONICET-UNCo) is acknowledged for his technical assistance in the use of large-scale high-performance computing.

Both, first and second authors (Cesar M. Venier and Andrés Reyes Urrutia) contributed equaly to this work.

Citation

Venier, C.M., Reyes Urrutia, A., Capossio, J.P., Baeyens, J. and Mazza, G. (2020), "Comparing ANSYS Fluent® and OpenFOAM® simulations of Geldart A, B and D bubbling fluidized bed hydrodynamics", International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 30 No. 1, pp. 93-118. https://doi.org/10.1108/HFF-04-2019-0298

Publisher

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Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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