137 Control and Optimization of Particle and Solids Production


Description:
Contributions are sought in the general area of control and optimization of particle and solids production processes such as formation, precipitation, crystallization, agglomeration and granulation, milling and grinding, polymerization, spray drying, and colloidal processes. Topics of interest include but not limited to: 1) kinetics-based applications to design and optimization, 1) model reduction methods and their application to control and optimization, 2) real-time optimization, 3) simulation-based optimization and 4) regulatory and model-predictive control to optimize distributed variables. Preference given but limited to unit-operation optimization and control.

Sponsor:
Particle Production and Characterization


Chair:
Heather N. Emady
Arizona State University
School for Engineering of Matter, Transport, and Energy
Tempe, AZ
Email: Heather.Emady@asu.edu

Co-Chair:
Bryan J. Ennis
Associate Professor
University of Tennessee at Chattanooga
Department of Civil & Chemical Engineering
EMCS 434, Dept 2502
Chattanooga, TN
37403-2598
Fax Number: 240-524-8482
Email: bryan.ennis@powdernotes.com


Papers:
A Comparison of Numerical Optimization Methods for Cyclone Separators
Rafaello Duarte Luciano, University of Blumenau; Leonardo Machado da Rosa, University of Blumenau; Henry F. Meier, University of Blumenau; Waldir Pedro Martignoni, University of Blumenau
Optimization of Cyclone Separators in Series Based on Computational Fluid Dynamics
Rafaello Duarte Luciano, University of Blumenau; Leonardo Machado da Rosa, University of Blumenau; Henry F. Meier, University of Blumenau; Waldir Pedro Martignoni, University of Blumenau
Application of Psychrometric Principles for Predicting the Bulk Density of Spray Dried Dispersions
Jennifer Lewis, Vertex Pharmaceuticals; Ariel R. Muliadi, Vertex Pharmaceuticals; Joseph W. Bullard, Vertex Pharmaceuticals
A Model-Guided Selection of Media Size in Wet Stirred Media Milling of Poorly Water-Soluble Drugs
Ecevit Bilgili, New Jersey Institute of Technology; Paulina Alvarez, New Jersey Institute of Technology; Meng Li, New Jersey Institute of Technology
Reduced Order-Discrete Element Method Modeling of Comilling for Efficient Integration into Continuous Process
Nirupaplava Metta, Rutgers, The State University of New Jersey; Marianthi Ierapetritou, Rutgers, The State University of New Jersey; Rohit Ramachandran, Rutgers, The State University of New Jersey
Abstract Submissions Closed
See more of this Group/Topical: Particle Technology Forum