233 Population Balance Modeling for Particle Formation Processes: Nucleation, Aggregation, and Breakage Kernels


Description:
Contributions are sought in the general area of population balance modeling and control of particle formation processes. Topics of interest include, but are not limited to: (1) the identification of nucleation kinetics and kernels for coalescence, aggregration, agglomeration, and breakage; (2) numerical algorithms for efficiently solving the associated population balance equations with complex particle dynamics; (3) model reduction methods and their application to optimization and feedback control; (4) experimental design methods, to focus experimental efforts on identifying kernels and nucleation kinetics; (5) nonlinear control methods designed to optimize distributions; and (6) mathematical methods for analyzing the sensitivities of the distributions to model uncertainties and disturbances. All application areas involving population balance modeling are of interest including nanoparticle formation, solids flows, granulation processes, solution crystallization, spray drying, precipitation, and emulsion and suspension polymerization.

Sponsor:
Particle Production and Characterization


Chair:
Dana Barrasso
Process Systems Enterprise
Cedar Knolls, NJ
07927
Email: d.barrasso@psenterprise.com

Co-Chair:
R. Bertrum Diemer Jr.
Professor of Practice
University of Delaware
Chemical & Biomolecular Engineering
Newark, DE
Phone Number: 302-831-8646
Email: rbdjr@udel.edu


Papers:
Population Balance Equation for Calculation of the Inlet Distribution for Oil and Water Droplets in Continuous Gravity Separators
Christoph Josef Backi, Norwegian University of Science and Technology; Brian Arthur Grimes, Norwegian University of Science and Technology; Sigurd Skogestad, Norwegian University of Science and Technology
Population Balance: The Auto-Catalytic Nature of Secondary Nucleation in Seeded Batch Crystallizations
Rory Tyrrell, University of Limerick; Brian de Souza, SSPC, University of Limerick; P.J. Frawley, SSPC, MSSI, University of Limerick
DEM-Based Prediction of Critical Impact Velocities of Aggregation and Breakage and Daughter Distributions of Cohesive Powders
Kevin M. Kellogg, University of Colorado at Boulder; Peiyuan Liu, University of Colorado at Boulder; Casey Q. LaMarche, University of Colorado at Boulder; Christine M. Hrenya, University of Colorado at Boulder
Towards a General Model for Twin-Screw Wet Granulation: Development and Calibration of a Novel Three Compartmental PBM Model
Daan Van Hauwermeiren, Universiteit Gent; Maxim Verstraeten, Ghent University; Kai Lee, Pfizer Inc.; Neil Turnbull, Pfizer Inc.; Pankaj Doshi, Worldwide Research and Development, Pfizer Inc.; Mary T. am Ende, Worldwide Research and Development, Pfizer Inc.; Thomas De Beer, Ghent University; Ingmar Nopens, Ghent University
Towards a General Model for Twin-Screw Wet Granulation: Validation of a PBM Model through Linking Calibrated Model Parameters to Process Conditions
Daan Van Hauwermeiren, Ghent University; Maxim Verstraeten, Ghent University; Kai Lee, Pfizer Inc.; Pankaj Doshi, Worldwide Research and Development, Pfizer Inc.; Mary T. am Ende, Worldwide Research and Development, Pfizer Inc.; Thomas De Beer, Ghent University; Ingmar Nopens, Ghent University
Towards a General Model for Twin-Screw Wet Granulation: Application of a Novel Validated PBM Model to a Hydrophilic Compound and Linking Model Parameters to Blend Properties
Daan Van Hauwermeiren, Ghent University; Maxim Verstraeten, Ghent University; Kai Lee, Pfizer Inc.; Neil Turnbull, Pfizer Inc.; Mary T. am Ende, Worldwide Research and Development, Pfizer Inc.; Thomas De Beer, Ghent University; Ingmar Nopens, Ghent University
Population Balance Modeling Applied to the Milling of Hot-Melt Extrudates
Maxx Capece, AbbVie; John C. Strong, AbbVie; Oliver Heinzerling, AbbVie; Ping Gao, AbbVie
Abstract Submissions Closed
See more of this Group/Topical: Particle Technology Forum