358 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: 302-831-8648
Email: rbdjr@udel.edu


Papers:
Global System Analysis of Twin Screw Granulation Using Population Balance Modelling in Gproms
Li Ge Wang, University of Sheffield; Dana Barrasso, Process Systems Enterprise; David Slade, Process Systems Enterprise Limited; James D. Litster, The University of Sheffield
Fundamental Prediction of Agglomeration and Entrainment Rates for Cohesive Powders in a Riser Flow
Kevin M. Kellogg, University of Colorado at Boulder; Peiyuan Liu, University of Colorado at Boulder; Casey LaMarche, Particulate Solid Research, Inc.; Christine M. Hrenya, University of Colorado at Boulder
Molecules As Building Blocks in a Novel Population Balance Model for Flash Nano-Precipitation: Investigation of the Different Good Solvents Effect on Nanoparticle Formation
Alessio D. Lavino, Politecnico di Torino; Marco Ferrari, Politecnico di Torino; Daniele Marchisio, Politecnico di Torino
Distribution Reconstruction from Moments Via Orthogonal Polynomials
R. Bertrum Diemer Jr., University of Delaware
Modeling of Breakage Process Using Monte Carlo Simulations in Spray Fluidized Bed Granulator
Ashok Das, INDIAN INSTITUTE OF TECHNOLOGY KHARAGPUR; Jitendra Kumar, Indian Institute of Technology Kharagpur
Abstract Submissions Closed
See more of this Group/Topical: Particle Technology Forum