Center for Precision Medicine Platform Based on Smart Hemo-Dynamic Index
Project Background
There is a need to develop a quantitative indicator that systematically integrates various fragmented data sources, including biological measurements, blood test results, and hemodynamic parameters.
Project Objectives
Development of a real-time precision medicine XR platform based on the Smart Hemodynamic Index integrating biological, physiological, and hemodynamic information
Project Research Methods
Development and integration of a hemodynamic simulation model and a vascular velocity field prediction model, establishment of a real-time prediction model using AI, and enhancement of medical data utilization models
This Research is supported by National Research Foundation of Korea (NRF)
#ERC #Hemodynamic #AI
UWV Long-term Operation Research Lab
Project Background
Reduction of Hydrodynamic Resistance in Seawater is Required for Long-Term Submarine Vehicle Stay
Project Objectives
Achieved 20% Drag Reduction in an Environment with a Depth of 20m and Reynolds Number of 100,000
Project Research Methods
Performance Evaluation of Superhydrophobic Surface Using TC Device and Measurement of Drag Reduction Rate in Real-World Application
This Research is supported by Agency for Defense Development (ADD)
#Taylor-Couette Flow #Superhydrophobic
MRV Challenge 1, 2, and 3
Future
Mobility
Artificial
Intelligence
Energy &
Environment
Human
Healthcare
Project Background
To promote the broader application of MRV in engineering, the MRV Challenge was launched to demonstrate its capabilities and practices across research groups
Project Objectives
To evaluate consistency and improve experimental reliability by comparing measurement results obtained by different research groups
Project Research Methods
A combination of MRV, MRT, and MRC was applied to a flow phantom with complex 3D turbulent structures, and the results obtained by different research groups were compared
This Research is Collaborative Research
#Flow Visualization #MRV
Visualization of Flow and Pressure Fields
in the Suction Muffler of a Reciprocating Compressor using MRV
Project Background
Significant flow non-uniformity and energy loss in suction mufflers highlight the need for accurate pressure and velocity field measurements to guide design improvements.
Project Objectives
To evaluate the internal flow behavior and pressure loss in suction mufflers of a reciprocating compressor by analyzing velocity, turbulence, and pressure fields, providing insight for design optimization.
Project Research Methods
Three-dimensional velocity and TKE fields were measured using Magnetic Resonance Velocimetry (MRV), and internal pressure distributions were estimated via the Omni-Directional Integration (ODI) method under Reynolds number-matched conditions.
This Research is supported by LG Electronics
#Noise Reduction #TKE #MRV
Improving Flow Performance in a Heat Pump Tumble Dryer using MRV-based Structural Modifications
Project Background
In premium heat pump tumble dryers, non-uniform flow and backflow within the rear duct contribute to lint accumulation, energy loss, and noise, highlighting the need for effective flow optimization strategies.
Project Objectives
To improve the internal flow performance of a heat pump tumble dryer by identifying critical flow issues and implementing MRV-guided structural modifications to reduce turbulence, backflow, and flow non-uniformity.
Project Research Methods
MRV was used to measure 3D velocity and TKE fields in scaled models of the machine room and rear duct, with flow features from the reference model guiding targeted geometric modifications.
This Research is supported by LG Electronics
#Noise Reduction #TKE #MRV
Flow Field Analysis and Design Optimization of a Premium Hair Dryer Using PIV and MRV
Project Background
To enter the premium hair dryer market, it is essential to evaluate key performance indicators of existing hair dryers.
Project Objectives
1. Enhance the Coanda effect by improving the external geometry, based on external flow visualization
2. Reduce noise by refining the internal structure, informed by internal flow analysis
Project Research Methods
External flow is visualized using Particle Image Velocimetry (PIV), while internal flow is examined through Magnetic Resonance Velocimetry (MRV).
This Research is supported by LG Electronics
#Hair Dryer #Coanda Effect #MRV #PIV
Pore-scale Flow Visualization and
Reactive Transport Analysis for CO2 Mineralization in Basalt
Future
Mobility
Artificial
Intelligence
Energy &
Environment
Human
Healthcare
Project Background
Basalt formations offer a stable solution for long-term carbon sequestration through CO2 mineralization. Understanding pore-scale flow and reaction mechanisms is essential to optimize this process.
Project Objectives
This project aims to visualize 3D fluid flow in basalt analogs and investigate how mineralization alters pore structures and flow behavior. It also seeks to generate experimental data to validate and enhance field-scale predictive models.
Project Research Methods
We use Magnetic Resonance Velocimetry (MRV) and micro-CT imaging to study fluid movement and reactive transport in custom-built rock-on-a-chip systems. These methods allow us to observe pore-scale changes before and after CO2 or H2 injection under various flow conditions.
Main Results
3D Structural Analysis of Basalt Using Micro-CT and Plan for
Flow Visualization within 3D-Printed Basalt Replicas via MRV
This Research is supported by Ministry of Science and ICT (MSIT)
#CO2Mineralization #MRV
Visualization of Multiphase Flow Inside a Dishwasher Using MRV
Project Background
There is a growing need to study fast-moving multiphase flows using Magnetic Resonance Velocimetry (MRV).
Project Objectives
To visualize multiphase flow inside a dishwasher using MRV and conduct quantitative analysis of air bubbles.
Project Research Methods
We develop a quantitative metric to capture MR signal loss from air bubbles and use it to analyze multiphase flow dynamics inside the dishwasher.
This Research is supported by LG Electronics
#MRV #Multiphase flow
Development of AI for Aerodynamic Design
Future
Mobility
Artificial
Intelligence
Energy &
Environment
Human
Healthcare
Project Background
Time/Cost reduction in analyzing wake flow field based on design factors during the automotive design development phase
Project Objectives
Development of an Artifical Intelligence model to analyze the flow patterns of automotive wake flow field and predict the design factors causing them
Project Research Methods
Designing and training an Artificial Intelligence model with optimal flow data representation for predicting design factors, and verification of the model’s reasoning through visualization of the results
This Research is supported by HYUNDAI NGV
#AI #Automotive design #Wake flow
Study on the Correlation Between Interior Pressure and Wind Noise in SUVs
Future
Mobility
Artificial
Intelligence
Energy &
Environment
Human
Healthcare
Project Background
Understanding the mechanism of whistle noise in SUVs from pressure differences and optimization of outlet design of Extractor Grill is required
Project Objectives
To reduce interior pressure and whistle noise, generalized design indicators based on flow analysis and measurements are required
Project Research Methods
Measure and analyze the velocity field around the outlet of Extractor Grill in 3D and 3C using a magnetic resonance velocimeter
This Research is supported by HYUNDAI NGV
#Whistle Noise #Extractor Grill #MRV
Blood Flow Analysis System
Using MRV and Machine Learning
Future
Mobility
Artificial
Intelligence
Energy &
Environment
Human
Healthcare
Project Background
Revolutionary reduction in MRV data post-processing time, and application of hemodynamics-based diagnostic technology in clinical practice
Project Objectives
Development of an ultra-fast carotid blood flow analysis system based on MRV and machine learning
Project Research Methods
Collection of 3D velocity field MRV data inside the carotid artery from patients with carotid stenosis, and development of a carotid blood flow analysis system using machine
This Research is supported by National Research Foundation of Korea (NRF)
#Hemodynamics #MRV #Machine learning
