Viscosity prediction for dense suspensions of non-spherical particles based on CFD-DEM simulations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F24%3A43929596" target="_blank" >RIV/60461373:22340/24:43929596 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61388998:_____/24:00601863

Výsledek na webu

<a href="https://doi.org/10.1016/j.powtec.2024.120067" target="_blank" >https://doi.org/10.1016/j.powtec.2024.120067</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.powtec.2024.120067" target="_blank" >10.1016/j.powtec.2024.120067</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Viscosity prediction for dense suspensions of non-spherical particles based on CFD-DEM simulations

Popis výsledku v původním jazyce

Reliable estimation of the viscosity and rheology of dense suspensions formed from non-spherical particles is of high importance for studies of many natural and industrial processes. Still, the complexity of underlying physics makes predicting the viscosity of such suspensions a challenging task, resulting in a lack of models capable of doing so for general suspensions. In this work, we present an approach based on a combination of the computational fluid dynamics (CFD) and discrete element method (DEM) developed for arbitrarily shaped particles and use it to predict viscosity of dense suspensions of spheres, rods, and glitters. Simulation results are compared to available experimental data and commonly used engineering correlations. The developed model can reliably predict suspension viscosity in a wide range of solid volume fractions and particle shapes. The simulations with spherical particles also reveal a shear-thickening trend at increased shear rates, which corresponds to the experimentally observed non-Newtonian behavior.

Název v anglickém jazyce

Viscosity prediction for dense suspensions of non-spherical particles based on CFD-DEM simulations

Popis výsledku anglicky

Reliable estimation of the viscosity and rheology of dense suspensions formed from non-spherical particles is of high importance for studies of many natural and industrial processes. Still, the complexity of underlying physics makes predicting the viscosity of such suspensions a challenging task, resulting in a lack of models capable of doing so for general suspensions. In this work, we present an approach based on a combination of the computational fluid dynamics (CFD) and discrete element method (DEM) developed for arbitrarily shaped particles and use it to predict viscosity of dense suspensions of spheres, rods, and glitters. Simulation results are compared to available experimental data and commonly used engineering correlations. The developed model can reliably predict suspension viscosity in a wide range of solid volume fractions and particle shapes. The simulations with spherical particles also reveal a shear-thickening trend at increased shear rates, which corresponds to the experimentally observed non-Newtonian behavior.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20401 - Chemical engineering (plants, products)

Projekt

<a href="/cs/project/GA22-12227S" target="_blank" >GA22-12227S: Počítačový návrh katalytických filtrů zohledňující vliv zachycených částic</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

POWDER TECHNOLOGY

ISSN

0032-5910

e-ISSN

1873-328X

Svazek periodika

444

Číslo periodika v rámci svazku

1 August 2024

Stát vydavatele periodika

ZA - Jihoafrická republika

Počet stran výsledku

12

Strana od-do

120067

Kód UT WoS článku

001270628000001

EID výsledku v databázi Scopus

2-s2.0-85198290752