Containment of drone acoustic footprint through configuration optimisation (CO-NOISE)
Description
Identify noise generation mechanisms and characterise the associated footprint of drone configurations widely used in the market. The project aims to identify optimisation opportunities based on sensitivity assessment related to key design parameters.
Key data
Projectlead
Deputy Projectlead
David Anderegg
Project team
Christian Hauschel, Andrea Vaiuso, Oier Coretti, Moreno Apicella, Noé Pedrazzini, Gabriele Immordino
Project status
completed, 01/2023 - 09/2024
Institute/Centre
Institute of Mechanical Systems (IMES); Centre for Aviation (ZAV)
Funding partner
Bundesamt für Zivilluftfahrt BAZL
Project budget
159'298 CHF
School of Engineering
Technikumstrasse 9
8400 Winterthur