Article | Proceedings of the 58th Conference on Simulation and Modelling (SIMS 58) Reykjavik, Iceland, September 25th ‚Äď 27th, 2017 | Validation of results from Barracuda¬ģ CFD modelling to predict the minimum fluidization velocity and the pressure drop of Geldart A particles
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Title:
Validation of results from Barracuda¬ģ CFD modelling to predict the minimum fluidization velocity and the pressure drop of Geldart A particles
Author:
Chameera Jayarathna: Department of Process, Energy and Environmental Technology, University College of South East Norway / Tel-Tek, Research institute, Porsgrunn, Norway Britt Moldestad: Department of Process, Energy and Environmental Technology, University College of South East Norway Lars-André Tokheima: Department of Process, Energy and Environmental Technology, University College of South East Norway
DOI:
10.3384/ecp1713876
Download:
Full text (pdf)
Year:
2017
Conference:
Proceedings of the 58th Conference on Simulation and Modelling (SIMS 58) Reykjavik, Iceland, September 25th ‚Äď 27th, 2017
Issue:
138
Article no.:
010
Pages:
76-82
No. of pages:
7
Publication type:
Abstract and Fulltext
Published:
2017-09-27
ISBN:
978-91-7685-417-4
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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Fluidization characteristics such as the minimum fluidization velocity and the bed pressure drop are important for the design of an efficient fluidized bed. These characteristics can be measured experimentally, but also modelled by CFD simulations. The aim of this study was to use experimental data to validate drag models applied in the CFD software Barracuda. Most of the drag models available in the literature are validated against Geldart B or D particles and are not necessarily suitable for Geldart A particles, such as the zirconia particles used in the present study. However, by adjusting one of the constants in the Wen-Yu and Ergun drag models, it should be possible to apply these equations also for Geldart A particles. Data from an in-house built lab-scale fluidized bed unit were used in the study. Reducing the k1 value in the drag model from 180 to 47 gave a reasonable representation of the minimum fluidization velocity and the pressure drop over the bed.

Keywords: CFD, CPFD, Barracuda, fluidization, pressure drop, minimum fluidization velocity, MP-PIC

Proceedings of the 58th Conference on Simulation and Modelling (SIMS 58) Reykjavik, Iceland, September 25th ‚Äď 27th, 2017

Author:
Chameera Jayarathna, Britt Moldestad, Lars-André Tokheima
Title:
Validation of results from Barracuda¬ģ CFD modelling to predict the minimum fluidization velocity and the pressure drop of Geldart A particles
DOI:
http://dx.doi.org/10.3384/ecp1713876
References:
No references available

Proceedings of the 58th Conference on Simulation and Modelling (SIMS 58) Reykjavik, Iceland, September 25th ‚Äď 27th, 2017

Author:
Chameera Jayarathna, Britt Moldestad, Lars-André Tokheima
Title:
Validation of results from Barracuda¬ģ CFD modelling to predict the minimum fluidization velocity and the pressure drop of Geldart A particles
DOI:
http://dx.doi.org/10.3384/ecp1713876
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