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Effect of interparticle dipolar interaction on pore clogging during microfiltration.

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Electric dipoles on adhesive particles enhance clogging in porous media. Numerical simulations reveal how dipolar interactions and adhesion affect particle capture, permeability, and cake structure formation.

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Area of Science:

  • * Fluid dynamics and particle transport phenomena.
  • * Computational physics and materials science.

Background:

  • * Understanding particle clogging in porous media is crucial for various industrial processes.
  • * The role of electrostatic interactions, specifically electric dipoles, in particle aggregation and pore blockage remains an active research area.

Purpose of the Study:

  • * To numerically investigate the clogging behavior of adhesive particles with electric dipoles at the pore scale.
  • * To quantify the impact of long-range dipolar interactions on clogging dynamics and cake structure formation.
  • * To construct a clogging phase diagram and analyze the influence of particle properties and interactions on flow reduction.

Main Methods:

  • * Employed an adhesive discrete element method (DEM) for numerical simulations.
  • * Analyzed bulk permeability, penetrating particle number, and particle capture efficiency to quantify clogging.
  • * Characterized the resulting cake structure using mathematical descriptions and visualized particle arrangements.

Main Results:

  • * Long-range dipolar interactions significantly promote particle clogging.
  • * A clogging phase diagram was developed, illustrating transitions based on Stokes number (St) and adhesion parameter (Ad).
  • * Increased adhesion and dipolar interactions led to looser cake structures, with stronger dipoles forming ordered particle chains.
  • * Fluid stress was identified as critical for cake compression and restructuring.

Conclusions:

  • * Electric dipoles play a key role in enhancing particle clogging in porous media.
  • * The study provides a framework for predicting clogging behavior based on particle properties and flow conditions.
  • * A comprehensive understanding of particle-scale interactions is essential for characterizing macroscopic cake structures and flow reduction.