About the project
The aerospace industry is undergoing a revolution. With disruptive technologies changing how we think about air travel, you have the opportunity to make a lasting impact and join a movement that will redefine global transportation.
The global drive toward a Net Zero aviation sector by 2050 is sparking an unprecedented demand for innovation. Whether it's designing electric propulsion systems, integrating next-gen drive units, or reimagining the very essence of aircraft, your contribution could lead the charge in transforming the skies.
We are on the cusp of the next great leap in aviation technology, and now is the time for mechanical engineers, electrical engineers, aerospace engineers, and experts from every related discipline to come together. You’ll be at the heart of developing sustainable solutions that can drastically reduce aviation’s carbon and non-carbon footprint, pushing us closer to a future of zero-emission flights.
The aim of this project is to investigate design strategies for integrated driveline system that combines the energy source, electrical machine, inverter, and gearbox. Designing such a system requires understanding the aircraft's requirements and minimizing the total weight, as well as managing component interactions.
If not carefully designed and aligned, integrating the components can amplify vibrations and noise. For example, electromagnetic noise from the motor can interact with gear meshing vibrations, while high-frequency switching noise from the inverter can propagate through the structure, causing complex vibrational patterns.
The integration challenges include managing structural resonances, mitigating torque ripple, and ensuring that vibrations from one component do not negatively impact the performance or safety of others. You will investigate different electric drive designs and create models to assess their performance.
You should have basic understanding of power electronics and electrical machines with interests in conducting experiments as well as numerical modelling in MATLAB and ANSYS.
