TURBULENCE & FLOW CTRL.
TURBULENCE & FLOW CTRL.
Various attempts have been made for the turbulence control for drag and flow-induced noise both in industries and academic institutes for the decades. However, as Richard Feynman described it as 'the most important unsolved problem of classical physics', turbulence is notorious for its complexity and irregularity, which has significantly hampered the application of a systematic and organized approach in flow control. We are conducting following researches to develop systematic and universal flow-control methodologies for attaining effective drag and noise reduction.
Turbulence simulations
Turbulence prediction & control
- Prediction of turbulent flows by machine (deep) learning technique
- Flow control based on the predicted flows for drag reduction
Turbulence prediction
Turbulence control
Turbulence modeling
- Modeling the closure terms in the filtered Navier-Stokes equation
- Modeling subgrid-scale stress and conducting large eddy simulation
Filtered N-S eq. & machine learning model
LES of turbulent channel flow