Research Interests


The following are some current research directions the lab has undertaken.


Droplet Impact

Spreading, splashing, and rebounding...

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Turbulence and its Effect on Droplet Collisions in Multiphase Fluid Flows

Even today, the process of rain formation is not fully understood. †Experiments are being conducted to characterize the effect of air turbulence on the collision and coalescence of water droplets in the context of cloud physics. The goal is to create a model that will more accurately predict the process rate for warm rain initiation.

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Atomization

Atomization of liquid jet arises in numerous industrial applications. Injection in gasifiers and spray coating for pharmaceutical tablets are some of the examples. Many of these applications are very sensitive to the droplet size. Therefore, there is a need to understand the underlying mechanism of the breakup of a liquid jet.

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Droplet Condensation/Evaporation

Atmospheric modeling, specifically of cloud physics, generally involves distances on the order of kilometers. However, many of the important physics involving water dropletsí evolution are dictates by microphysics on turbulence scales (millimeters). In order to accommodate the microphysics of droplet behavior on in a large-scale model, an analytical model is needed that accounts for the physics in a broad way.

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Tidal Turbine Blade Analysis

The use of submerged turbines to generate electricity from the motion of water in streams, tidal and ocean currents is an area of active research due to the potential to provide highly predictable, non-polluting energy from a renewable source. In order to understand and study the detailed dynamics of the turbine turbulent wake and its potential effect on energy extraction and environmental impact, we have developed a hierarchy of numerical models to simulate the mechanics of flow around and behind single turbines and full arrays.

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Dialysis Access Grafts

Do you ever wonder what happens inside your arteries?

Computer simulations of hemodialysis access grafts may provide a useful tool which doctors might use to better predict graft behavior. These simulations may allow doctors a pre-surgical predictive capability of grafts which they would use to better optimize graft patency.

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