Fluid Engineering

Research Area

Fluid Engineering

The Fluid Engineering Group conducts research to predict, analyze, and enhance performance and stability across a wide range of applications in energy, environment, transportation, medical devices, and sports equipment. Our work integrates theoretical, experimental, and numerical approaches to address complex fluid dynamics challenges. In addition, we explore applied fluid motion phenomena that underlie the survival mechanisms of diverse living organisms, bridging engineering principles with biological insight.
Turbulence, Flow Control and CFD / Bio-Mimetic Engineering Laboratory
Prof. Choi, Haecheon
The Turbulence, Flow Control and CFD / Bio-Mimetic Engineering Lab conducts high-fidelity simulations (DNS, LES) to accurately predict turbulent flows and understand underlying physical phenomena. Based on this, the lab develops effective flow control strategies and are actively exploring machine learning approaches for turbulence prediction.
 
The lab also applies bio-mimetic design principles, inspired by natural forms and functions, to develop technologies such as low-noise fan blades, low-friction excavation tools, and aerodynamically efficient vehicle shapes across various engineering fields.
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Turbomachinery Laboratory
Prof. Song, Seung Jin

The Turbomachinery Lab conducts research to enhance the aerodynamic performance and structural stability of various turbomachinery systems, including gas turbines.

The lab quantitatively analyzes complex flow phenomena such as fluid-structure interactions in high-speed rotors, cavitation, and rotational instabilities, aiming to improve the efficiency and reliability of propulsion and power generation systems.
Through close collaboration with industry partners, the lab develops practical energy solutions and explores next-generation turbomachinery technologies that support the transition to sustainable energy.

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Microfluids & Soft Matter Laboratory
Prof. Kim, Ho-Young

The Microfluids & Soft Matter Lab aims to quantitatively understand and control the physical behavior of various soft materials, including microfluids, biofluids, gels, and shells.

 

By integrating ultrafast imaging, theoretical modeling, and numerical simulations, the lab investigates dynamic phenomena occurring in both manufacturing processes and everyday contexts.

Based on these insights, the lab develops innovative bio-inspired mechanical systems, soft robots, and nanoscale manufacturing techniques.

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Multiphase Flow and Flow Visualization Laboratory
Prof. Park, Hyungmin

The Multiphase Flow and Flow Visualization Lab aims to quantitatively understand and address the physical mechanisms of complex multiphase flow phenomena occurring in industrial, biological, and environmental systems.

 

By combining advanced experimental techniques—such as high-speed imaging, Particle Image Velocimetry (PIV), and shadowgraphy—with numerical simulations, theoretical modeling, and machine learning algorithms, the lab investigates phenomena such as bubbly flows, particle-fluid interactions, and flow control on functional surfaces.

The lab also conducts experimental and theoretical studies in diverse applications, including the hydrodynamics of bio-inspired robots, droplet behavior in semiconductor cleaning processes, and particle dispersion in environmental flows, contributing to the design and control of next-generation fluid systems.

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Energy & Environmental Flow Laboratory
Prof. Hwang, Wontae

The Energy & Environmental Flow Laboratory (EEFL) investigates the fundamental mechanisms of turbulent flows through advanced flow diagnostics, aiming to develop analysis and control technologies for industrial and environmental applications.

 

Using advanced measurement techniques such as Magnetic Resonance Velocimetry (MRV), Particle Image Velocimetry (PIV), and infrared thermography, they visualize and quantify complex flow phenomena including gas turbine blade cooling, aerospace and automotive engine flows, and airborne particulate dispersion.

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Computer Aided Thermal Design Laboratory
Prof. Kim, Charn Jung

The Computer-Aided Thermal Design Lab conducts research using Multi-Scale Multi-Dimensional (MSMD) modeling techniques to predict the performance and lifespan of lithium-ion batteries (LIBs) and to develop micro/CFD analysis models for efficient simulation of solid oxide fuel cells (SOFCs).

 

The lab focuses on the precise analysis of thermal and fluid flow behavior in various energy systems, including fuel cells and batteries, with the goal of advancing performance-driven design and optimization technologies.

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Advanced Energy System Laboratory
Prof. Song, Han Ho
The Advanced Energy System Laboratory researches energy systems for next-generation eco-friendly vehicles, focusing on fuel cells, hybrid systems, and electric vehicle energy management. The lab develops technologies for high-efficiency, low-emission driving, including fuel cell powertrains, lean-burn hybrid optimization, and AI-based energy control for electric and hydrogen vehicles.
 
We also study hydrogen production, fuel characteristics, and life cycle assessment (LCA) to support the design of sustainable and environmentally sound energy systems.
 
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Reacting Flow Laboratory
Prof. Do, Hyungrok

The Reacting Flow Lab focuses on developing laser-based diagnostic techniques to quantitatively analyze combustion and flow phenomena under high-temperature and high-pressure conditions.

 

The lab applies advanced optical methods—such as Tunable Diode Laser Absorption Spectroscopy (TDLAS), Laser-Induced Breakdown Spectroscopy (LIBS), and Laser-Induced Plasma (LIP)—to non-invasively measure temperature, pressure, and chemical composition in extreme environments, including supersonic combustors and high-pressure flames.

These diagnostics enable us to investigate combustion instabilities and control high-speed flows, contributing to the development of next-generation propulsion and high-efficiency energy systems.

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