This preliminary program is subject to change.

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:
Roger Place
IFPRI
41 West End
Stockton on Tees TS21 2BW
Phone Number: +44 1740 620688
Fax Number: +44 1740 623530
Email: rogerplace@compuserve.com

Co-Chair:
Edward P. Gatzke

Papers:
Effective Parameter Estimation within a Multi-Dimensional and Multi-Scale Population Balance Model Framework
Rohit Ramachandran, Massachusetts Institute of Technology; Paul I. Barton, Massachusetts Institute of Technology (M.I.T.)
Particle Heteroaggregation: Analysis by a Property Discrete Population Balance Model
Sascha Rollié, Max Planck Institute for Dynamics of Complex Technical Systems; Kai Sundmacher, Max Planck Institute for Dynamics of Complex Technical Systems
Modelling and Simulation of Extensional Flow-Units in Emulsion Formation
Cristhian P. Almeida-Rivera, Unilever R&D Vlaardingen; Peter Bongers, Unilever R&D Vlaardingen
Predicting the Effect of Homogenization Pressure On Emulsion Drop Size Distributions
Neha B. Raikar, University of Massachusetts; Surita R. Bhatia, University of Massachusetts Amherst; Michael F. Malone, University of Massachusetts; Michael H. Henson, University of Massachusetts Amherst
Mechanistic Modeling of the Breakage Function in Eukaryotic Cell Populations
Martin A. Hjortsø, Louisiana State University; Michael Benton, Louisiana State University
See more of this Group/Topical: Particle Technology Forum