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Agglomeration Regimes of Particles under a Linear Laminar Flow: A Numerical Study

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  • Yunzhou Qian

    (ARC Centre of Excellence for Enabling Eco-Efficient Beneficiation of Minerals, Department of Chemical Engineering, The University of Melbourne, Melbourne, VIC 3010, Australia
    School of Chemical Engineering, The University of Birmingham, Birmingham B15 2TT, UK)

  • Shane P. Usher

    (ARC Centre of Excellence for Enabling Eco-Efficient Beneficiation of Minerals, Department of Chemical Engineering, The University of Melbourne, Melbourne, VIC 3010, Australia)

  • Peter J. Scales

    (ARC Centre of Excellence for Enabling Eco-Efficient Beneficiation of Minerals, Department of Chemical Engineering, The University of Melbourne, Melbourne, VIC 3010, Australia)

  • Anthony D. Stickland

    (ARC Centre of Excellence for Enabling Eco-Efficient Beneficiation of Minerals, Department of Chemical Engineering, The University of Melbourne, Melbourne, VIC 3010, Australia)

  • Alessio Alexiadis

    (School of Chemical Engineering, The University of Birmingham, Birmingham B15 2TT, UK)

Abstract

In this work, a combined smoothed particle hydrodynamics and discrete element method (SPH-DEM) model was proposed to model particle agglomeration in a shear flow. The fluid was modeled with the SPH method and the solid particles with DEM. The system was governed by three fundamental dimensionless groups: the Reynolds number Re (1.5~150), which measured the effect of the hydrodynamics; the adhesion number Ad (6 × 10 −5 ~6 × 10 −3 ), which measured the inter-particle attraction; and the solid fraction α , which measured the concentration of particles. Based on these three dimensionless groups, several agglomeration regimes were found. Within these regimes, the aggregates could have different sizes and shapes that went from long thread-like structures to compact spheroids. The effect of the particle–particle interaction model was also investigated. The results were combined into ‘agglomeration maps’ that allowed for a quick determination of the agglomerate type once α , Re , Ad were known.

Suggested Citation

  • Yunzhou Qian & Shane P. Usher & Peter J. Scales & Anthony D. Stickland & Alessio Alexiadis, 2022. "Agglomeration Regimes of Particles under a Linear Laminar Flow: A Numerical Study," Mathematics, MDPI, vol. 10(11), pages 1-15, June.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:11:p:1931-:d:831770
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    Keywords

    SPH; DEM; agglomeration regimes;
    All these keywords.

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