Discrete and Continuum Approaches for Modeling Solids Motion Inside a Rotating Drum at Different Regimes

In this work, the performance of discrete and continuum computational models for addressing granular flow dynamics in a rotating drum at different regimes is studied. The results are compared to the experimental observations obtained by image processing of a high-speed camera on a pilot plant rotati...

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Autores principales: César Martín Venier, Santiago Márquez Damián, Sergio Eduardo Bertone, Gabriel Darío Puccini, José María Risso, Norberto Marcelo Nigro
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/7c7d6f092e974f3db087cc28c44b46bd
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spelling oai:doaj.org-article:7c7d6f092e974f3db087cc28c44b46bd2021-11-11T15:09:25ZDiscrete and Continuum Approaches for Modeling Solids Motion Inside a Rotating Drum at Different Regimes10.3390/app1121100902076-3417https://doaj.org/article/7c7d6f092e974f3db087cc28c44b46bd2021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10090https://doaj.org/toc/2076-3417In this work, the performance of discrete and continuum computational models for addressing granular flow dynamics in a rotating drum at different regimes is studied. The results are compared to the experimental observations obtained by image processing of a high-speed camera on a pilot plant rotating drum. For the discrete modeling, Discrete Elements Method (DEM) through the open-source software LIGGGHTS(R) is used, while for the continuum model, the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>μ</mi><mo>(</mo><mi>I</mi><mo>)</mo></mrow></semantics></math></inline-formula>-rheology is implemented in the general structure of a Volume-Of-Fluid (VOF) solver of the OpenFOAM(R) platform. Four test cases consisting of different sets of particles filling and rotational speed are considered and the results are analyzed in terms of solids distribution, the velocity of the particles, and mixing patterns. The solids distribution and velocities for each one of the tests considered are fairly similar between both computational techniques and the experimental observations. In general, DEM results show a higher level of agreement with the experiments, with minor differences that might be irrelevant in some cases (e.g., more splashing of particles for the fastest regimes). Among the drawbacks of the continuum model, it was unable to predict the slumping regime observed experimentally which can be attributed to the lack of a yield criterion and a slower dragging of the granular material when the drum is being accelerated, which can be attributed to the need of adding non-local effects to the rheology. On the other hand, the dynamic of the bed in the rolling and cascading regimes are accurately predicted by the continuum model in less time than DEM, even in a pilot plant scale system. These results suggest that the use of a continuum model with granular fluid rheology is more suited for simulating industrial-scale rotating drums at different regimes than DEM, but only if all the phenomenological features (i.e., yield criteria and non-local effects) are taken into account in the model.César Martín VenierSantiago Márquez DamiánSergio Eduardo BertoneGabriel Darío PucciniJosé María RissoNorberto Marcelo NigroMDPI AGarticlerotating drumCFDDEMgranular flowrheologyTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10090, p 10090 (2021)
institution DOAJ
collection DOAJ
language EN
topic rotating drum
CFD
DEM
granular flow
rheology
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
spellingShingle rotating drum
CFD
DEM
granular flow
rheology
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
César Martín Venier
Santiago Márquez Damián
Sergio Eduardo Bertone
Gabriel Darío Puccini
José María Risso
Norberto Marcelo Nigro
Discrete and Continuum Approaches for Modeling Solids Motion Inside a Rotating Drum at Different Regimes
description In this work, the performance of discrete and continuum computational models for addressing granular flow dynamics in a rotating drum at different regimes is studied. The results are compared to the experimental observations obtained by image processing of a high-speed camera on a pilot plant rotating drum. For the discrete modeling, Discrete Elements Method (DEM) through the open-source software LIGGGHTS(R) is used, while for the continuum model, the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>μ</mi><mo>(</mo><mi>I</mi><mo>)</mo></mrow></semantics></math></inline-formula>-rheology is implemented in the general structure of a Volume-Of-Fluid (VOF) solver of the OpenFOAM(R) platform. Four test cases consisting of different sets of particles filling and rotational speed are considered and the results are analyzed in terms of solids distribution, the velocity of the particles, and mixing patterns. The solids distribution and velocities for each one of the tests considered are fairly similar between both computational techniques and the experimental observations. In general, DEM results show a higher level of agreement with the experiments, with minor differences that might be irrelevant in some cases (e.g., more splashing of particles for the fastest regimes). Among the drawbacks of the continuum model, it was unable to predict the slumping regime observed experimentally which can be attributed to the lack of a yield criterion and a slower dragging of the granular material when the drum is being accelerated, which can be attributed to the need of adding non-local effects to the rheology. On the other hand, the dynamic of the bed in the rolling and cascading regimes are accurately predicted by the continuum model in less time than DEM, even in a pilot plant scale system. These results suggest that the use of a continuum model with granular fluid rheology is more suited for simulating industrial-scale rotating drums at different regimes than DEM, but only if all the phenomenological features (i.e., yield criteria and non-local effects) are taken into account in the model.
format article
author César Martín Venier
Santiago Márquez Damián
Sergio Eduardo Bertone
Gabriel Darío Puccini
José María Risso
Norberto Marcelo Nigro
author_facet César Martín Venier
Santiago Márquez Damián
Sergio Eduardo Bertone
Gabriel Darío Puccini
José María Risso
Norberto Marcelo Nigro
author_sort César Martín Venier
title Discrete and Continuum Approaches for Modeling Solids Motion Inside a Rotating Drum at Different Regimes
title_short Discrete and Continuum Approaches for Modeling Solids Motion Inside a Rotating Drum at Different Regimes
title_full Discrete and Continuum Approaches for Modeling Solids Motion Inside a Rotating Drum at Different Regimes
title_fullStr Discrete and Continuum Approaches for Modeling Solids Motion Inside a Rotating Drum at Different Regimes
title_full_unstemmed Discrete and Continuum Approaches for Modeling Solids Motion Inside a Rotating Drum at Different Regimes
title_sort discrete and continuum approaches for modeling solids motion inside a rotating drum at different regimes
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/7c7d6f092e974f3db087cc28c44b46bd
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