ࡱ> HJG9 Rbjbj2( lnnnnnnn  n:$ 6 D Qn ^nnb ^^^nn^^^nn `y@(*x 0 ,z Lz ^nnnn  INCLUDEPICTURE "http://www.che.ufl.edu/faculty/curtis/curtis.jpg" \* MERGEFORMATINET   INCLUDEPICTURE "http://www.che.ufl.edu/images/curvebox/w_spacer.gif" \* MERGEFORMATINET Jennifer Sinclair Curtis Chair and Professor Ph.D., 1989, Princeton University Modeling of Particle-laden Flows Computational Fluid Dynamics Dem Simulations  Email:  HYPERLINK "mailto:jcurtis@che.ufl.edu" jcurtis@che.ufl.edu Phone: (352) 392-0882 229 Chemical Engineering Building  Brief Description of Current Research Our research work focuses on the development and validation of numerical models for the prediction of fluid-particle flow phenomena. Particle flow processes pervade the pharmaceutical, biomedical, chemical, mining, agricultural, food processing and petroleum industries. One of our most notable successes is the adoption of our groupb multiphase flow models by the two key commercial computational fluid dynamics (CFD) software package vendors (Fluent and AEA Technology). We are currently expanding the capability of these models to describe particulate systems that contain highly non-spherical, cohesive, and/or rough particles with a size distribution that evolves with time due to chemical reaction, particle agglomeration, or attrition. In addition, we are developing models which describe both particle clustering, a flow phenomenon characteristic of dense-phase particle transport, as well as the effect of the interstitial fluid on particle-particle and particle-wall interactions. We also employ the Discrete Element Method (DEM) to simulate the details of the motion of individual particles to give insight into both the development of closure relations for the CFD models, as well as phenomena such as particle segregation and mixing in blenders and hoppers. Our group also has a complementary experimental research program involving detailed, non-intrusive flow measurements using laser Doppler velocimetry and flow visualization. These measurements allow us to explore, in a highly controlled fashion, a range of effects such as the influence of the particle size distribution and the effect of the interstitial fluid on particle velocity fluctuations. Refractive index matching is used for liquid-solid systems. Selected Publications "DEM Simulation of Particle Clustering at High Solids Concentration" (Keynote Paper), Proceedings of the 2005 ASME Fluids Engineering Conference, M. E. Lasinski, J. S. Curtis, and J. F. Pekny, Paper No. FEDSM2005-77279 (2005). ceasurement and Prediction of Pressure Drop in Pneumatic Conveying: Effect of Particle Characteristics, Mass Loading, and Reynolds Number? Henthorn, K., K. Park, and J. S. Curtis, I & EC Research, Vol. 44, 5090 (2005). ceynolds Number Dependence of Gas-Phase Turbulence in Gas-Particle Flows? Int. J. Multiphase Flow, Hadinoto, K., E. Jones, C. Yurteri, and J. S. Curtis, Vol. 31, 416 (2005). ctress Results from Two-Dimensional Granular Shear Flow Simulations using Various Collision Models? Ketterhagen, W., J. S. Curtis and C. Wassgren, Phys. Rev. E., Vol. 71, 061307 (2005). "Effect of Interstitial Fluid on Particle-Particle Interactions in Kinetic Theory", I & EC Research, Hadinoto, K. and J. Curtis,Vol. 43, 3604 (2004). cffect of System Size on Particle-Phase Stress and Microstructure Formation", M. E. Lasinski, J. S. Curtis, and J. F. Pekny, Physics of Fluids, Vol. 16, 265 (2004). codeling Particle-Laden Flows: A Research Outlook?(Invited), J.S. Curtis and B. van Wachem, AIChE Journal, Vol. 50, 2638 (2004). Y\]^ VWX_`â̸neZeB*CJaJo(phB*CJaJph&j1B*CJOJQJU^JaJph0JCJOJQJ^JaJ B*CJOJQJ^JaJo(ph&j%1B*CJOJQJU^JaJph6]&j}/B*CJOJQJU^JaJph&jB*CJOJQJU^JaJphB*CJOJQJ^JaJph <B*CJOJQJ^JaJph!] WY &&$ & Fdd[$\$a$[$\$$a$#]hTV&LfHfV& B*CJOJQJ^JaJo(ph#6B*CJOJQJ]^JaJphB*CJOJQJ^JaJph0182P. 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