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Related Experiment Video

Updated: Dec 12, 2025

A Microfluidic Model of Biomimetically Breathing Pulmonary Acinar Airways

A Microfluidic Model of Biomimetically Breathing Pulmonary Acinar Airways

Published on: May 9, 2016

Multi-scale physical model simulation of particle filtration using computational fluid dynamics.

Haochen Li¹, John Sansalone¹

¹Engineering School of Sustainable Infrastructure & Environment (ESSIE), Univ. of Florida, Gainesville, FL, 32605, USA.

Journal of Environmental Management

|August 12, 2020

Summary

A new computational model accurately simulates particle separation in radial cartridge filtration (RCF) systems, offering a valuable tool for design and maintenance of sedimentation-filtration processes.

Keywords:

Best management practice Particle size distribution Stormwater Unit operation Urban drainage Water treatment

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Last Updated: Dec 12, 2025

A Microfluidic Model of Biomimetically Breathing Pulmonary Acinar Airways

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Published on: May 9, 2016

Three-Dimensionally Printed Microfluidic Cross-flow System for Ultrafiltration/Nanofiltration Membrane Performance Testing

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Published on: February 13, 2016

Pneumatically Driven Microfluidic Platform for Micro-Particle Concentration

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Published on: February 1, 2022

Area of Science:

Environmental Engineering
Fluid Dynamics
Filtration Technology

Background:

Clarifiers with radial cartridge filtration (RCF) combine sedimentation and filtration.
RCF differs from traditional filtration with horizontal flow and radial velocity gradients.
Granular filters in RCF operate at lower Reynolds numbers.

Purpose of the Study:

To develop a computational fluid dynamics (CFD) framework for simulating particle separation in RCF systems.
To couple pore-scale and macroscopic models for analyzing non-Brownian particle separation.
To validate the CFD model against physical testing data.

Main Methods:

Implementation of Navier-Stokes equations within a CFD framework.
Coupling of pore-scale filter and macroscopic sedimentation-filtration models.
Validation using physical testing data from a full-scale sedimentation-filtration system.

Main Results:

The model predicted a two-zone filtration structure based on particle diameter.
Computational tool achieved 86.1% particulate matter separation.
Physical testing showed 87.8% particulate matter separation.

Conclusions:

The physical-based CFD framework provides accurate predictions for RCF systems.
The model requires minimal calibration, enhancing its extensibility.
This tool aids in understanding particle fate, guiding design, maintenance, and system management.