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Comparison of three different CFD methods for dense fluidized beds and validation by a cold flow experiment

Stroh, Alexander and Alobaid, Falah and Hasenzahl, Max Thomas and Hilz, Jochen and Ströhle, Jochen and Epple, Bernd (2016):
Comparison of three different CFD methods for dense fluidized beds and validation by a cold flow experiment.
In: Particuology, pp. 34-47, 29, ISSN 16742001,
DOI: 10.1016/j.partic.2015.09.010,
[Online-Edition: https://doi.org/10.1016/j.partic.2015.09.010],
[Article]

Abstract

This work focuses on a comparison between three different numerical CFD methods, namely Euler–Euler, Euler–Lagrange-stochastic, and Euler–Lagrange-deterministic, to treat a dense spouted bed. A simple cold flow experiment was used to investigate the hydrodynamics of a gas–solid flow in a three dimensional lab-scale spouted bed. In this context, two different air mass flow rates, 0.005 and 0.006 kg/s, were applied during fluidization. The experimental bed behaviour was recorded with a high-speed camera to validate the numerical predictions in terms of bubble size, bed expansion rate, and particle velocities at different reactor heights. The numerical setup was kept similar between all three modelling approaches. At both gas mass flow rates all three approaches are able to capture the overall bed expansion. However, at higher gas mass flow rates, discrepancies between experiment and simulation increase for the Euler–Euler and Euler–Lagrange-stochastic models. The Euler–Lagrange deterministic model most accurately predicts the flow pattern at both mass flow rates. The main reasons for discrepancies between simulation and experiment result from modelling of the collision and friction forces.

Item Type: Article
Erschienen: 2016
Creators: Stroh, Alexander and Alobaid, Falah and Hasenzahl, Max Thomas and Hilz, Jochen and Ströhle, Jochen and Epple, Bernd
Title: Comparison of three different CFD methods for dense fluidized beds and validation by a cold flow experiment
Language: English
Abstract:

This work focuses on a comparison between three different numerical CFD methods, namely Euler–Euler, Euler–Lagrange-stochastic, and Euler–Lagrange-deterministic, to treat a dense spouted bed. A simple cold flow experiment was used to investigate the hydrodynamics of a gas–solid flow in a three dimensional lab-scale spouted bed. In this context, two different air mass flow rates, 0.005 and 0.006 kg/s, were applied during fluidization. The experimental bed behaviour was recorded with a high-speed camera to validate the numerical predictions in terms of bubble size, bed expansion rate, and particle velocities at different reactor heights. The numerical setup was kept similar between all three modelling approaches. At both gas mass flow rates all three approaches are able to capture the overall bed expansion. However, at higher gas mass flow rates, discrepancies between experiment and simulation increase for the Euler–Euler and Euler–Lagrange-stochastic models. The Euler–Lagrange deterministic model most accurately predicts the flow pattern at both mass flow rates. The main reasons for discrepancies between simulation and experiment result from modelling of the collision and friction forces.

Journal or Publication Title: Particuology
Volume: 29
Uncontrolled Keywords: Computational fluid dynamics, Euler–Lagrange-deterministic collision model, Euler–Euler, MP-PIC approach, Experimental validation
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institut für Energiesysteme und Energietechnik (EST)
Date Deposited: 30 Jan 2018 14:05
DOI: 10.1016/j.partic.2015.09.010
Official URL: https://doi.org/10.1016/j.partic.2015.09.010
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