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PIV, Drag Reduction
Support Organization
Agency for Defense Development
Research Background
Reduction of Hydrodynamic Resistance in Seawater is Required for Long-Term Submarine Vehicle Stay
Research Objectives
Achieved 20% Drag Reduction in an Environment with a Depth of 20m and Reynolds Number of 100,000
Research Methods
Performance Evaluation of Superhydrophobic Surface Using TC Device and Measurement of Drag Reduction Rate in Real-World Application
Main Results
Velocity Field Visualization Using PIV and Air Layer Visualization Induced by Superhydrophobic Surface
UWV Long-term Operation Research Lab
Support Organization
Hyundai Motor Company
Research Background
Time/Cost Reduction in Analyzing Wake Flow Field Based on Design Factors during the Automotive Design Development Phase
Research Objectives
Development of an Artificial Intelligence Model to Analyze the Flow Patterns of Automotive Wake Flow Field and Predict the Design Factors Causing Them
Research Methods
Design and Training of an Artificial Intelligence Model with Optimal Flow Data Representation for Predicting Design Factors, and Verification of the Model's Reasoning through Visualization of Results
Main Results
Artificial Intelligence Model Capable of Predicting Design Factors that Influence Flow Patterns
Development of AI for Aerodynamic Design
Study on the Correlation Between Interior Pressure and Wind Noise in SUVs
Future
Mobility
Artificial
Intelligence
Energy &
Environment
Human
Healthcare
Background
Understanding the mechanism of whistle noise in SUVs from pressure differences and optimization of outlet design of Extractor Grill is required
Objectives
To reduce interior pressure and whistle noise, generalized design indicators based on flow analysis and measurements are required
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
UWV Long-term Operation Research Lab
Background
Reduction of Hydrodynamic Resistance in Seawater is Required for Long-Term Submarine Vehicle Stay
Objectives
Achieved 20% Drag Reduction in an Environment with a Depth of 20m and Reynolds Number of 100,000
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
Support Organization
Hyundai Motor Company
Research Background
Benchmark experimental data is required to validate CFD analysis results of flow distribution characteristics in fuel cell separator channels
Research Objectives
Measure and analyze the flow velocity field inside the channel in 3D and 3C using a magnetic resonance velocimeter, and evaluate the flow distribution
Research Methods
Flow visualization inside the channel using a magnetic resonance velocimeter, which enables non-invasive flow visualization in complex shapes or opaque environments
Main Results
MRV velocity field data and flow distribution analysis results for hydrogen/air/cooling water channels
Improvement of flow distribution through flow visualization in fuel cell bipolar plates
Research Background
Research on thermal issues is essential for mechatronic systems like Hyperloop, as thermal problems are directly related to electrical characteristics
Research Objectives
Analyze the heat transfer characteristics of various electrical and mechanical heat sources in Hyperloop, and derive improved cooling solutions
Research Methods
Perform electromagnetic, thermal, and flow coupled numerical simulations, and evaluate key design factors
Main Results
Hyperloop System Cooling Solution
Support Organization
Korea Railroad Research Institute
Analysis of Heat Transfer
in Hyperloop systems
Development of AI for Aerodynamic Design
Future
Mobility
Artificial
Intelligence
Energy &
Environment
Human
Healthcare
Background
Time/Cost reduction in analyzing wake flow field based on design factors during the automotive design development phase
Objectives
Development of an Artifical Intelligence model to analyze the flow patterns of automotive wake flow field and predict the design factors causing them
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
