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

The result's identifiers

  • Result code in 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>

  • Alternative codes found

    RIV/61388998:_____/24:00601863

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20401 - Chemical engineering (plants, products)

Result continuities

  • Project

    <a href="/en/project/GA22-12227S" target="_blank" >GA22-12227S: Computer-aided design of catalytic filters considering the impact of trapped particulate matter</a><br>

  • Continuities

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

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    POWDER TECHNOLOGY

  • ISSN

    0032-5910

  • e-ISSN

    1873-328X

  • Volume of the periodical

    444

  • Issue of the periodical within the volume

    1 August 2024

  • Country of publishing house

    ZA - SOUTH AFRICA

  • Number of pages

    12

  • Pages from-to

    120067

  • UT code for WoS article

    001270628000001

  • EID of the result in the Scopus database

    2-s2.0-85198290752