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Research Domain: Modeling of Particle-laden Flows Computational Fluid Dynamics Dem Simulations
Keyword: Jennifer Sinclair Curtis
Research Production: 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抯 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.
Remarks: Chair and Professor
Ph.D., 1989, Princeton University

Email: jcurtis@che.ufl.edu
Phone: (352) 392-0882
229 Chemical Engineering Building  
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