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Related Experiment Video

Updated: May 3, 2026

VacuSIP, an Improved InEx Method for In Situ Measurement of Particulate and Dissolved Compounds Processed by Active Suspension Feeders

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Size exclusion deep bed filtration: experimental and modelling uncertainties.

Alexander Badalyan¹, Zhenjiang You¹, Kaiser Aji¹

¹Australian School of Petroleum, University of Adelaide, Adelaide, South Australia 5005, Australia.

The Review of Scientific Instruments

|February 13, 2014

Summary

This study verifies stochastic models for particle capture using uncertainty analysis. A model accurately predicts particle concentrations, crucial for understanding size exclusion in porous media.

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Area of Science:

Colloid and Surface Science
Environmental Engineering
Fluid Dynamics

Background:

Particle capture in porous media is vital for filtration and environmental remediation.
Size exclusion is a key mechanism, driven by repulsive forces between particles and media.

Purpose of the Study:

To perform a detailed uncertainty analysis of particle capture models.
To verify theoretical stochastic models for predicting particle retention due to size exclusion.

Main Methods:

Applied linear uncertainty propagation using Taylor's series expansion.
Calculated combined standard uncertainties (CSUs) for various experimental parameters.
Evaluated two stochastic models against experimental data for normalized suspended particle concentrations.

Main Results:

Size exclusion was confirmed as the dominant capture mechanism due to repulsive Derjaguin-Landau-Verwey-Overbeek potentials.
Weighted mean particle radius and mean pore throat radius exhibited the highest CSUs.
One model accurately predicted normalized suspended particle concentrations across various jamming ratios.

Conclusions:

The validated model provides reliable predictions for particle retention.
Uncertainty analysis is essential for comparing particle size exclusion data across studies.
The findings support the use of size exclusion models in filtration and environmental applications.