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

Author:

Qian Yunzhou,Usher Shane P.ORCID,Scales Peter J.ORCID,Stickland Anthony D.ORCID,Alexiadis AlessioORCID

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.

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

Reference62 articles.

1. Solid-Liquid Separation in the Mining Industry;Fernando Concha,2014

2. Handbook of Pharmaceutical Wet Granulation;Badawy,2019

3. Clogging of microfluidic systems

4. Erosion Prediction in Turbomachinery Resulting from Environmental Solid Particles

5. Erosion and Deposition in Turbomachinery

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