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:
Pavol Rajniak
Merck & Co., Inc.
Pharmaceutical Commercialization Technology
WP78-110, P.O. Box 4
West Point, PA 19486
Fax Number: 215-652-2821
Email: pavol_rajniak@merck.com

Co-Chair:
Rohit Ramachandran
Assistant Professor
Rutgers, The State University of New Jersey
Department of Chemical and Biochemical Engineering
98 Brett Road
Piscataway, NJ 02139
Fax Number: 732-445-2581
Email: rohit.r@rutgers.edu


Papers:
45a
Reduction of a Mechanistic Drying Model of Pharmaceutical Granules for Inclusion in a Population Balance Model with Continuous Growth Term
Séverine T.F.C. Mortier, Ghent University; Ingmar Nopens, Ghent University; Thomas De Beer, Ghent University; Krist V. Gernaey, Technical University of Denmark (DTU)
45b
A Systematic Approach for Quantifying the Multi-Particle Interactions in Dry Milling: Rational Function Type Effectiveness Factor
Maxx Capece, New Jersey Institute of Technology; Rajesh Dave, New Jersey Center for Engineered Particulates; Ecevit Bilgili, New Jersey Institute of Technology
45c
Theoretical Breakage Distribution Functions
Priscilla J. Hill, Mississippi State University
45d
Optimization and Control of Growth Modifier Concentration Profile for Achieving Target Crystal Shape Distribution
Aniruddha Majumder, Loughborough University; Zoltan K. Nagy, Loughborough University
45e
Self Starting and Globally Convergent Parameters Estimation Method for Aggregation-Breakage Population Balance Model Using Genetic Algorithm
Akinola Falola, University of Leeds; Xue Z. Wang, The University of Leeds; Antonia Borissova, University of Leeds; Jingjing Liu, University of Leeds
45g
A Simplified Model for the Evolution of the Drop Size Distribution in an Emulsion by Breakup: A New Breakup Kernel
Rekha R. Rao, Sandia National Laboratories; Michael Loewenberg, Yale University
See more of this Group/Topical: Particle Technology Forum