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 Jennifer S. Curtis



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Tim Anderson
Aravind R. Asthagiri
Seymour S. Block
David V. Boger
Jason E. Butler
Anuj Chauhan
Oscar D. Crisalle
Jennifer S. Curtis
Richard B. Dickinson
Helena Hagelin-Weaver
Gar Hoflund
Peng Jiang
Kerry D. Johanson
Lewis E. John Jr.
Dmitry Kopelevich
Olga Kryliouk
Anthony J. C. Ladd
Tanmay Lele
Ranga Narayanan
Mark E. Orazem
Chang-Won Park
Fan Ren
Dinesh O. Shah
Spyros Svoronos
Yiider Tseng
Sergey Vasenkov
Jason F. Weaver
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Faculty Up
Jennifer Sinclair Curtis (picture)

Jennifer Sinclair Curtis

Chair and Professor

Ph.D., 1989, Princeton University

Modeling of Particle-laden Flows
Computational Fluid Dynamics
Dem Simulations


Email: 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 group’s 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).
     
  •  “Measurement 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).
     
  • “Reynolds 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).
     
  • “Stress 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).
     
  • “Effect 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).
     
  • “Modeling Particle-Laden Flows:  A Research Outlook” (Invited), J.S. Curtis and B. van Wachem, AIChE Journal, Vol. 50, 2638 (2004).
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