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Concurrent Modeling of Hydrodynamics and Interaction Forces Improves Particle Deposition Predictions
Chao Jin1, Carolyn L Ren2, Monica B Emelko1
1Department of Civil and Environmental Engineering, University of Waterloo , 200 University Ave W., Waterloo, Ontario N2L 3G1, Canada.
Environmental Science & Technology
|March 24, 2016
Summary
Media surface roughness significantly impacts particle deposition. A new model shows hydrodynamics and interaction forces synergistically affect deposition on rough surfaces, improving prediction accuracy over existing models.
Area of Science:
- Environmental Science
- Fluid Dynamics
- Colloid Science
Background:
- Surface roughness is thought to enhance particle deposition, but experimental evidence is inconsistent.
- Existing models often overlook synergistic effects between hydrodynamics and interaction forces on rough surfaces.
Purpose of the Study:
- To develop and validate a new mathematical framework for particle deposition on rough spherical collectors.
- To investigate the combined influence of hydrodynamics and interaction forces on particle deposition.
Main Methods:
- Developed a novel mathematical model incorporating DLVO forces, detailed flow field profiles, and hydrodynamic retardation functions.
- Validated the model against experimental observations.
Main Results:
- Hydrodynamic effects significantly alter particle deposition predictions compared to models considering only DLVO forces.
- The combined effects of hydrodynamics and interaction forces are synergistic, not additive.
- The new model shows improved agreement with experimental data.
Conclusions:
- Inclusion of roughness impacts and hydrodynamic contributions is crucial for accurate particle deposition modeling.
- This framework can explain discrepancies in experimental outcomes and enhance filtration process descriptions.
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