Computational Flow Physics and Engineering – Large Eddy Simulation
Development and utilization of new subgrid-scale models (e.g., global-coefficient eddy-viscosity model) and advanced numerical methods (geometrically-flexible, accurate, and stable methods based on discrete conservation principles) for large-eddy simulation of turbulent flows in complex configurations. Global-coefficient subgrid-scale model for compressible turbulence and scalar transport in complex configurations. Grid-independent large-eddy simulation employing explicit filtering techniques.
Renewable and Sustainable Energy Systems
Design, simulation, and analysis of renewable and sustainable energy conversion systems such as wind- and hydro-power systems (wind and hydro turbines) for electricity and/or hydrogen production and hydrogen conversion systems such as combustors and fuel cells aiming at high efficiency, performance, and durability, and low emission and acoustic noise.
Fluid Dynamics for Robot Kinematics
Development of computational methodologies for simulating fluid-structure interactions (CFD- CSD coupling). Development of optimal kinematics for aero- and hydro-dynamic acrobats of robots. Design of optimal dynamic airfoils/hydrofoils.
Integrated Simulation of Energy Conversion Systems
Integrated simulation and analysis of multi-physics (turbulence, fluid-structure interaction, multiphase, combustion, spray dynamics, heat transfer, pollutants formation) in energy con- version/propulsion systems using multiple code (large-eddy simulation, Reynolds-averaged Navier-Stokes simulation, multiphase simulation, Lagrangian spray dynamics, chemical re- action) coupling techniques.
Flow Control and Optimization for Energy- and Environment-Compatible Thermo-Fluid Systems
Development of efficient flow control and optimization methods for (i) enhancing efficiency and performance and reducing pollutants and acoustic noise of energy conversion/propulsion systems (combustor, compressor, propeller, turbine, diffuser); (ii) enhancing performance and stability and reducing noise of high-lift systems (aircraft wing, wind turbine wing); and (iii) enhancing mixing and heat transfer and reducing form/skin-friction drag in micro-scale thermo-fluid systems (hydrophobic surfaces, synthetic jets).
Conducting large-eddy simulations of a turbulent flow over the DrivAer vehicle model for the investigation of steady and unsteady flow features. Analysis of vortex structures and their effect on drag, lift and side forces, as well as noise generation and driving comfort.
Artificial intelligence in Fluid Mechanics
Development of deep learning architectures for predicting unsteady flow fields and modeling turbulence.
Development of artificial intelligence for automatic grid generation and flow simulation.