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Aerodynamic Shape Optimization with LaminarTurbulent Transition for Unmanned Aerial Vehicle Design
This project involves the optimal aerodynamic design of unmanned aerial vehicles (UAVs), making use of stateoftheart computational fluid dynamics and aerodynamic shape optimization techniques. The algorithm development will focus on modeling and exploiting laminarturbulent transition in the optimization cycle. The project should result in new and significantly improved aerodynamic shape optimization tools. This has the potential to lead to new lowdrag and high endurance UAV systems.
Faculty Supervisor:
Dr. David W. Zingg
Student:
Ramy Rashad
Partner:
Brican Automated Systems Inc.
Discipline:
Aerospace studies
Sector:
Aerospace and defense
University:
University of Toronto
Program:
Accelerate
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