20 January 2017

Aircraft performance – Physics and Simulation TU Delft online course

Aircraft performance is an exciting and challenging field that is continuously evolving. For example, by the year 2050, civil aircraft should have 75% less emissions than present day aircraft. This TU Delft course dives into the physics and phenomena that determine aircraft performance to give you practical insights for real-world aircraft operations and development of future aircraft designs.

This is the right course for you, if you are:

A pilot, seeking a more fundamental understanding of the physics that govern aircraft performance.

A professional (mechanical engineer) in the aerospace industry working on a specific aircraft subsystem or discipline (for example, aerodynamicist, landing gear design, etc.).

An engineering student (mechanical, electrical, applied physics) aiming to transfer to the world of aeronautics.

An aircraft enthusiast, operating and developing unmanned aerial vehicles in your free time.

For professionals with a mechanical (or similar) engineering background, working in the aerospace industry on specific aircraft subsystems, this course will provide you with a system level understanding of aircraft performance and the impact your work has in the bigger picture. Thereby it will help you make better decisions, become more effective and ultimately advance your career.

For engineering students aspiring to work in the aerospace industry or interested in pursuing a master degree in aerospace engineering, this course can bridge the gap between mechanical and aeronautical engineering.

At the same time, this course is intended for pilots. This course will not teach you how to pilot an aircraft as taught in flying schools but rather why this is the best way of doing it by providing you with a more fundamental understanding of the physics governing aircraft performance. Enthusiasts working with UAVs can obtain a better understanding of the performance characteristics of their UAVs, how to operate them in the most optimal way and can predict the effect of design changes.
For more info see the flyer.