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RESEARCH INTERESTS

Research interests | 

Fluid mechanics, turbulence, fluid-structure interaction, biomimetics, flow physics, flow visualization, wind energy, vortex dynamics, multirotor aerodynamics, and machine learning

My research interests are related to the role of turbulence and fluid-structure interaction through experimental and theoretical research. I am eager to explore fluid dynamics research beyond the limit of what I have learned so far, particularly about the interaction between flow and surrounding environment with well-controlled parameters.

Flapping dynamics of an inverted flag in a uniform flow​​

Reference: Research at Flow Control Laboratory

Biomimetics

I would like to explore the interaction between the fluid and moving structure in nature. I am interested in wing aerodynamics inspired by animal locomotion. I believe my former involvement in fish schooling would serve as starting points for investigating new features in the context of animal behavior. In particular, we could understand more about the flight behavior of birds and bats by wake structure. I hope to develop methods for animal flights using machine learning to classify their trajectories and vortices.

Energy Harvesting

I aspire to develop energy harvesting systems via fluid-structure interaction perspectives. Using bio-inspired methods for energy extraction, I aim to enhance the efficiency of the harvesting system based on the vortex-structure interaction. In particular, the energy harvesting model using flow-induced vibration is considered more suitable for small-scale applications compared to conventional turbines. I would like to innovate the structure of the energy harvesting model considering the vortex-structure interaction.

My invention: A wind-powered car (2011)

Silver Prize, Creative Invention Contest

Inspiration: Inho Won’s Dual Rotor wind turbine

IMGP0501.JPG

DJI octocopter drone from my previous startup demo-test image

Multirotor Drone Aerodynamic Interaction

Aerodynamic interactions between rotors are important factors affecting the performance of UAVs or drones, but the interactional effects on the external streamwise wind and descending mode have been given little attention. I hope to develop more reliable empirical models derived from experimental data that is dependent on geometric and operational parameters. For optimization of drone designs, I aim to investigate more about rotor-rotor wake interaction and improve current models to predict the locations of the rotor-tip vortices.

Snow settling form Youtube video

Particle Transport in Turbulent Flow

The transport of particles as solids or droplets by a turbulent flow is a common enough feature in many natural and industrial processes, but the effects of aspherical particles and gravity have been given little attention. This is because their transport dynamics would be even more complicated if the particles are not round and symmetric. I am interested in understanding of particle-particle and particle-turbulence interaction to fill the gap of particle dynamics in turbulence via lab experiments. 

Last Updated: 20 Jan. 2020

Contact Me:

Kaeul Lim

Purdue University, West Lafayette

Email: lim335@purdue.edu

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