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Particle-Size-Exclusion Clogging Regimes in Porous Media.

G Gerber1,2, S Rodts1, P Aimedieu1

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This study reveals how noncolloidal particles clog porous media, forming flow-avoiding clusters. A model predicts particle transport and clogging based on a single clogging probability parameter.

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Area of Science:

  • Fluid Dynamics
  • Materials Science
  • Chemical Engineering

Background:

  • Particle deposition in porous media is crucial for filtration and transport processes.
  • Understanding clogging and caking dynamics is essential for optimizing these applications.

Purpose of the Study:

  • To provide a comprehensive dynamic view of particle deposition, from transport to clogging and caking.
  • To develop a predictive model for particle transport and clogging phenomena.

Main Methods:

  • Observation of noncolloidal particle deposition in a 3D porous medium model.
  • Analysis of geometrical exclusion effects on particle accumulation.
  • Development of a probabilistic model incorporating clogging probability.

Main Results:

  • Clogging occurs via pore size cluster formation, creating flow-avoided regions.
  • Cluster concentration decreases with distance from the medium's entrance.
  • Caking is linked to critical cluster concentration at the entrance.

Conclusions:

  • A unified model predicts particle transport, clogging, and caking using a single parameter (clogging probability).
  • Clogging probability is dependent on the confinement ratio.
  • This work advances the understanding and control of particle-laden flows in porous media.