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Particle Detachment in Deep Bed Filtration

Bai1, Tien

  • 1Department of Chemical Engineering, National University of Singapore, 10 Kent Ridge Crescent, 119260, Singapore

Journal of Colloid and Interface Science
|February 15, 1997
PubMed
Summary
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Particle detachment in deep bed filtration is influenced by particle size, filter grain size, and headloss gradient. These factors were confirmed through theoretical analysis and experimental validation, impacting filtration performance.

Area of Science:

  • Environmental Engineering
  • Fluid Mechanics
  • Water Treatment

Background:

  • Deep bed filtration is a critical process in water treatment.
  • Understanding particle detachment is key to optimizing filtration efficiency.
  • Existing models often lack comprehensive experimental validation for detachment phenomena.

Purpose of the Study:

  • To investigate particle detachment behavior in deep bed filtration.
  • To analyze the influence of filtration operating parameters on particle detachment.
  • To validate theoretical predictions with experimental data.

Main Methods:

  • Theoretical analysis of interaction forces governing particle detachment.
  • Experimental studies on deep bed filtration under varying conditions.

Related Experiment Videos

  • Controlled experiments with constant filtration rates and flow shock periods.

    • Main Results:

    • Particle detachment is significantly dependent on particle size.
    • Collector grain size plays a crucial role in particle detachment dynamics.
    • Headloss gradient, indicating filter clogging, directly affects particle detachment rates.

    Conclusions:

    • Theoretical predictions regarding particle detachment were experimentally confirmed.
    • Filtration operating parameters like particle size, collector size, and headloss gradient are critical for managing particle detachment.
    • Findings provide insights for improving deep bed filtration design and operation.