Research at ACFTL focuses on addressing key technological and environmental challenges linked to transitional and turbulent fluid flows, particularly their role in momentum, heat, and mass transfer. This work finds application in areas such as aerodynamics, hydrodynamics, propulsion, turbomachinery, thermal management, and materials processing.
The ACFTL is dedicated to conducting high-fidelity computational studies, complemented by analytical and semi-analytical approaches. Some of the current projects include:
- Predicting stability and transition phenomena in high-speed flow environments
- Simulating chemically non-reacting and reacting turbulent shear flows
- Developing strategies for flow control and reducing turbulent drag
- Enhancing predictive simulations using data assimilation and machine learning
The numerical simulations emphasize accuracy and are designed to capture the intricate physics of fluid flow across all turbulence scales. This is achieved through the development and implementation of highly efficient, scalable algorithms optimized for large-scale parallel computing on cutting-edge high-performance platforms.
Faculty: Reza Jahanbakhshi