Effect of Shape Parameterization and Optimization Algorithms on Adjoint Based Aerodynamic Shape Optimization

A very important phase in aircraft design is the aerodynamic design of the wing and various other components; wing-body fairing, tailplane, etc. With today’s computer power and progress in algorithm development, the design is made through complex mathematical models which are amenable to automatic optimization. An industrial adjoint-based three-dimensional viscous optimization framework, developed at Bombardier Aerospace, will be made more efficient by performing code-to-code validation with research codes at UTIAS. Improvements in all area of the framework will be examined, ie. aerodynamic paramterization, mesh movement and optimization algorithms. The importance of overall robustness of the framework will be demonstrated on test cases. The benefits will be to increase the technological readiness level of the automated industrial aerodynamic design framework.

Faculty Supervisor:

Dr. David Zingg

Student:

Nimeesha Kuntawala

Partner:

Bombardier Aerospace

Discipline:

Aerospace studies

Sector:

Aerospace and defense

University:

University of Toronto