Session: Industrial Application of Computational and Numerical Approaches to Particle Flow II (2012 Annual Meeting)

Description:

TBD

Sponsor:

Fluidization and Fluid-Particle Systems

Chair:

Shankar Subramaniam
Associate professor
Iowa State University
Mechanical Engineering
2080 Black Engineering Building
Ames, IA 50010
Phone Number: 515-294-3698
Email: shankar@iastate.edu

Co-Chair:

Samuel M. Clark
CPFD Software, LLC
10899 Montgomery Blvd. NE, Suite B
Albuquerque, NM 87111
Fax Number: 505-275-3346
Email: sam@cpfd-software.com

Papers:

493a

A Preliminary Study On Uncertainties in CFD Simulations of a Pilot-Scale Circulating Fluidized Bed Riser
Tingwen Li, URS Corp. National Energy Technology Laboratory; Aytekin Gel, Alpemi Consulting LLC; Mehrdad Shahnam, National Energy technology Laboratory; Madhava Syamlal, National Energy Technology Laboratory, U.S. Department of Energy

493b

Filtered Model for Energy Transport in Gas-Solid Flows
Kapil Agrawal, Princeton University; William Holloway, Princeton University; Sankaran Sundaresan, Princeton University

493c

A Numerical Method for Large-Scale Dense Particulate Flows Based On an Improved MP-PIC Method and Extended Lattice-Boltzmann Scheme
Radompon Sungkorn, University of Alberta; Jos Derksen, University of Alberta

493d

Parametric Analysis of the Effects of Particle Properties On the Granular Flows of Cylindrical Particles
Yu Guo, University of Florida; Carl R. Wassgren, Purdue University; William R. Ketterhagen, Pfizer Inc.; Bruno C. Hancock, Pfizer Worldwide Research and Development; Benjamin D. James, University of Florida; Jennifer Sinclair Curtis, University of Florida

493e

Coupled CFD and DEM Simulation of Fluid-Granular Systems
Dalibor Jajcevic, Research Center Pharmaceutical Engineering GmbH; Charles Radeke, Research Center Pharmaceutical Engineering GmbH; Georg Scharrer, Research Center Pharmaceutical Engineering GmbH; Johannes G. Khinast, Graz University of Technology

493f

Numerical Study On Large Scale Discrete Element Modeling for Fine Particles in a Fluidized Bed
Mikio Sakai, School of Engineering, the University of Tokyo; Naoto Sekimura, School of Engineering, The University of Tokyo; Tatsuya Itoi, School of Engineering, The University of Tokyo

493g

A Physics-Based Cellular Automata Approach for Modeling Industrial Granular Flow Problems
Martin C. Marinack Jr., Carnegie Mellon University; C. Fred Higgs III, Carnegie Mellon University

See more of this Group/Topical: Particle Technology Forum

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