The Effect of Aerodynamic Interactions on Aeroelastic Stability in Wing-Propeller Systemsifasd2024 Tracking Number 89 Presentation: Session: Distributed propulsion 1 Room: Room 1.2 Session start: 09:40 Tue 18 Jun 2024 Nils Böhnisch boehnisch@fh-aachen.de Affifliation: FH Aachen University of Applied Sciences Carsten Braun c.braun@fh-aachen.de Affifliation: FH Aachen University of Applied Sciences Vincenzo Muscarello vincenzo.muscarello@rmit.edu.au Affifliation: RMIT University Melbourne Pier Marzocca pier.marzocca@rmit.edu.au Affifliation: RMIT University Melbourne Topics: - Steady/Unsteady Aerodynamics (High and low fidelity (un)coupled analysis methods:), - Computational Aeroelasticity (High and low fidelity (un)coupled analysis methods:) Abstract: This paper presents initial findings from aeroelastic studies conducted on a wing-propeller model, aimed at evaluating the impact of aerodynamic interactions on wing flutter mechanisms and overall aeroelastic performance. Utilizing a frequency domain method, the flutter onset within a specified flight speed range is assessed. Mid-fidelity tools with a time domain approach are then used to account for the complex aerodynamic interaction between the propeller and the wing. Specifically, open-source software DUST and MBDyn are leveraged for this purpose. This investigation covers both windmilling and thrusting conditions of the wing-propeller model. During the trim process, adjustments to the collective pitch of the blades are made to ensure consistency across operational points. Time histories are then analyzed to pinpoint flutter onset, and corresponding frequencies and damping ratios are meticulously identified. The results reveal a marginal destabilizing effect of aerodynamic interaction on flutter speed, approximately 5%. Notably, the thrusting condition demonstrates a greater destabilizing influence compared to windmilling. These comprehensive findings enhance the understanding of the aerodynamic behavior of such systems and offer valuable insights for early design predictions and the development of streamlined models for future endeavors. |