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Areas of interest
website_video_homepage.movOscillating foils for energy harvesting
Oscillating foils for energy harvesting
We are interested in quantifying the effects of foil kinematics, array parameters, foil flexibility, vortex-gust interactions on the performance of oscillating-foil arrays. Our team focuses on performing high-fidelity numerical simulations using OpenFOAM to investigate the flow physics of the dynamic stall involved in these hydrokinetic turbines.
transRe_flow.movTransitional airfoil flows with laminar separation bubbles
Transitional airfoil flows with laminar separation bubbles
In collaboration with Prof. William Wolf from UNICAMP, we are currently investigating the effects of transitional Reynolds number flows on the development and shedding of laminar separation bubbles on different airfoil profiles with small angles of attack. These structures not only are responsible for the hydrodynamics when they convect downstream but once these reach the airfoil's trailing edge, they govern the aeroacoustics, especially in eVTOLs and rotors, where this type of flow can be found.
Machine learning applications for system optimization
Machine learning applications for system optimization
We are interested on developing machine learning algorithms to optimize systems. For instance, reinforcement learning algorithm is applied on oscillating-foil arrays to optimize the kinematics of a two-foil system. Recently, a classification algorithm was developed to obtain wake patterns under various single foil kinematics. These provide insights on how to arrange trailing foils with the goal of improving system performance.
We are always interested in new collaborations! Please feel free to reach us out!
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