Preliminary Program subject to change
03C01 Dynamics and Modeling of Particulate Systems I
OverviewThe session will focus on the advancement of chemical engineers ability to understand, predict, design, and thus optimize particulate systems. Advances in experimental methods, numerical simulations and granular theories have the potential to improve nucleation and aggregation/agglomeration/coalescence dynamics in particulate systems (including solid/liquid and solid/gas) and thus control size and topography (e.g., fractal dimension) of products. Increasing computational power and new numerical/analytical techniques from Applied Mechanics have allowed for increasingly complex particulate systems to be modeled and have set the stage for future work in such diverse areas as mixing/segregation, granulation, fluidization, and pneumatic conveying, to name but a few.
Primary SponsorSolids Flow, Handling and Processing (03c)
Co-Sponsor(s)Pharmaceuticals (See also Topical 2) (15b)

Chair

Kimberly H. Henthorn
Assistant Professor
Department of Chemical and Biological Engineering
University of Missouri-Rolla
143 Schrenk Hall
Rolla, MO 65409
Phone Number: (573) 341-7633
Fax Number: (573) 341-4377
Email: henthork@umr.edu

CoChair

Joseph J. McCarthy
Associate Professor
Chemical and Petroleum Engineering
University of Pittsburgh
1238 Benedum Hall
Pittsburgh, PA 15261
Phone Number: 412-624-7362
Fax Number: 412-624-9639
Email: mccarthy@engrng.pitt.edu
Numerical Simulation of Liquid Transfer between Particles
Deliang Shi, Chemical Engineering, University of PIttsburgh, Pittsburgh, PA 15261 and Joseph J. McCarthy, Chemical Engineering, University of Pittsburgh, 1249 Benedum Hall, University of Pittsburgh, Pittsburgh, PA 15261
Tomographic Imaging of Electrostatic Charges and Charging Phenomena in Particulate Flow Systems
Ah-Hyung Park, The Ohio State University, 140 W. 19th Ave., Columbus, OH 43210 and L. S. Fan, Chemical and Biomolecular Engineering, Ohio State University, 140 W 19th Ave, Columbus, OH 43210
Modeling of Granular Mixing Using a Dem-Based Markov Process Method
Jocelyn Doucet1, Francois Bertrand1, Nicolas Hudon2 and Jamal Chaouki1, (1)Department of Chemical Engineering, Ecole Polytechnique de Montreal, University of Montreal Campus, 2920 ch. de la Tour, Montreal, QC H3T1J7, Canada, (2)Chemical Engineering, Queen's University, Dupuis Hall, Division St., Kingston, K7L 3N6, Canada
Experimentally Validated Computations of Heat Transfer in Granular Flow in Rotary Calciners
Bodhisattwa Chaudhuri1, Fernando J. Muzzio1 and M. Silvina Tomassone2, (1)Chemical and Biochemical Engineering, Rutgers University, 98 Brett Road, Piscataway, NJ 08854, (2)Rutgers University, Department of Chemical & Biochemical Engineering, 98 Brett Road, Piscataway, NJ 08854
Characterization of Granular Mixtures by Comparison to Chemical Solution Theory
Benjamin L. Severson, Randall Q. Snurr and Julio M. Ottino, Chemical and Biological Engineering, Northwestern University, Tech E133 2145 Sheridan Rd., Evanston, IL 60208
Knudsen Boundary Layer in Granular Systems
Janine E. Galvin, Chemical & Biological Engineering, University of Colorado, Boulder, CO 80309-0424, Christine M. Hrenya, Chemical and Biological Engineering, University of Colorado, Boulder, CO 80309-0424 and Ricky Wildman, Mechanical and Manufacturing Engineering, University of Loughborough, Loughborough, NG26LD, United Kingdom
Clustering of Sand Grains Due to Triboelectrification
Keirnan R. LaMarche, Department of Chemical and Biochemical Engineering, Rutgers University, 98 Brett Rd., Piscataway, NJ 08854, Benjamin J. Glasser, Rutgers University, Department of Chemical and Biochemical Engineering, 98 Brett Road, Piscataway, NJ 08854 and Troy Shinbrot, Rutgers University, 98 Brett Rd., Piscataway, NJ 08854

Particle Technology Forum