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Mathematical modeling of polymer-induced flocculation by charge neutralization
Venkataramana Runkana1, P Somasundaran, P C Kapur
1NSF Industry/University Cooperative Research Center for Advanced Studies in Novel Surfactants, Columbia University, New York, NY 10027, USA.
Journal of Colloid and Interface Science
|December 31, 2003
Summary
A new mathematical model accurately predicts colloidal flocculation using the DLVO theory, accounting for salts and polymers. This model successfully describes floc size and kinetics for hematite suspensions, validating its predictive power.
Area of Science:
- Colloid and Surface Science
- Chemical Engineering
- Materials Science
Background:
- Flocculation of colloidal suspensions is crucial in many industrial processes.
- Existing models often simplify interactions between particles, especially in the presence of polymers.
- Accurate modeling requires incorporating electrostatic and van der Waals forces, alongside polymer effects.
Purpose of the Study:
- To develop and validate a comprehensive mathematical model for colloidal flocculation.
- To investigate flocculation mechanisms in the presence of salts and polymers.
- To accurately predict floc size distribution and kinetics.
Main Methods:
- Incorporation of classical DLVO theory into a discrete population balance model for salt-induced flocculation.
- Modification of DLVO theory to include adsorbed polymer layers for polymer-induced flocculation via charge neutralization.
- Dynamic scaling of experimental data to determine the fractal dimension of aggregates.
- Validation against experimental data for hematite suspensions with KCl and polyacrylic acid.
Main Results:
- The model accurately predicts flocculation kinetics and mean aggregate size evolution.
- Close agreement between model predictions and experimental results for hematite suspensions.
- Demonstrated ability to describe flocculation driven by simple charge neutralization with polymers.
- Sensitivity analysis highlights the impact of surface potential and fractal dimension on flocculation.
Conclusions:
- The developed mathematical model provides a robust framework for understanding and predicting colloidal flocculation.
- The model's ability to incorporate salt and polymer effects enhances its applicability to diverse systems.
- Accurate parameter estimation, including Hamaker constant and fractal dimension, is key to realistic simulations.