Preliminary Program subject to change
03A03 Population Balance Modeling for Particle Formation Processes I: Nucleation, Aggregation and Breakage Kernels
OverviewContributions 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.
Primary SponsorParticle Production and Characterization (03a)

Chair

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

CoChair

Edward P. Gatzke
Assistant Professor
University of South Carolina, Dept. of Chemical Engineering
Swearingen Engineering Center
301 Main St.
Columbia, SC 29208
Phone Number: (803) 777-1159
Fax Number: (803) 777-8265
Email: gatzke@sc.edu
A Mechanistic Kernel for the Aggregation Phenomenon in Population Balance Models of Granulation Processes
Rohit Ramachandran1, Francis J. Doyle III2, Frantisek Stepanek1 and Charles D. Immanuel3, (1)Department of Chemical Engineering, Imperial College London, South Kensington Campus, London, SW7 2AZ, United Kingdom, (2)Chemical Engineering/Biomolecular Science and Engineering Program, University of California Santa Barbara, UCSB, Santa Barbara, CA 93106-5080, (3)Centre for Process Systems Engineering, Department of Chemical Engineering and Chemical Technology, Imperial College London, Exhibition Road, London SW7 2AZ, United Kingdom
Evolution of Particle Size Distribution for Yeast Flocculation by Polymer Bridging: Experiment and Modeling
Zhen Chen, Chemical and Biological Engineering, Colorado State University, Fort Collins, CO 80525, Ranil Wickramasinghe, Colorado State University, Department of Chemical Engineering, Fort Collins, CO 80523-1370, Y. K. Leong, Chemicla Engineering, James Cook University, Townsville, Australia and Jong Leng Liow, Department of Mechanical Engineering, James Cook University, Townsville, Australia
Non-Quasi-Steady Single Particle Rate Laws (Evaporation or Growth) and Population Balance Simulation Methods
Daniel E. Rosner, Chemical Engineering, Yale University, 9, Hillhouse ave, New Haven, CT 06520 and Manuel Arias-Zugasti, visiting res sci, Yale University, 9, Hillhouse ave, New Haven, CT 06520
Fluctuations in Solutions to the Fragmentation Equation
Robert M. Ziff, University of Michigan, Department of Chemical Engineering, Ann Arbor, MI 48109-2136
Dynamic Evolution of Multi-Variate Particle Size Distributions in Particulate Processes: a Population Balance Perspective
Aleck Alexopoulos, Chemical Process Engineering Research Institute, P.O. Box 472, Thessaloniki, 54124, Greece and Costas Kiparissides, Department of Chemical Engineering, Aristotle University of Thessaloniki & Chemical Process Engineering Research Institute, P.O. Box 472, Thessaloniki, 54124, Greece
Fcmom: Moments and Moving Boundaries for an Accurate and Convergent Psd Reconstruction
Matteo Strumendo, Department of Chemical and Environmental Engineering, Illinois Institute of Technology, Chicago, IL 60616 and Hamid Arastoopour, Chemical and Environmental Engineering, Illinois Institute of Technology, Chicago, IL 60616

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