Multi-Fidelity Aerodynamic and Aeroacoustic Sensitivity Study of Isolated Propellers

Master Thesis (2020)
Author(s)

S. Burger (TU Delft - Aerospace Engineering)

Contributor(s)

Tomas Sinnige – Mentor (TU Delft - Flight Performance and Propulsion)

G. Eitelberg – Graduation committee member (TU Delft - Flight Performance and Propulsion)

F. Avallone – Graduation committee member (TU Delft - Wind Energy)

R. P. Dwight – Graduation committee member (TU Delft - Aerodynamics)

Faculty
Aerospace Engineering
Copyright
© 2020 Stijn Burger
More Info
expand_more
Publication Year
2020
Language
English
Copyright
© 2020 Stijn Burger
Graduation Date
29-09-2020
Awarding Institution
Delft University of Technology
Programme
['Aerospace Engineering']
Faculty
Aerospace Engineering
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

In the global search to more sustainable developments, research in the field of propeller propulsion systems is experiencing a renewed interest. The combination of efficiency and noise production is not studied as extensively as propeller efficiency alone in past studies. In this study, the relation between propeller noise and efficiency is investigated. Adjusted parameters are sweep, advance ratio and the collective pitch angle. The performance of randomly generated blades is evaluated using both RANS and BEM methods first, after which the noise is evaluated using Hanson’s frequency formulation. All results are combined in a multi-fidelity kriging surrogate model. The results suggest that maximum efficiency and minimum noise cannot be obtained at the same operating conditions. Adjusting advance ratio and pitch of a given propeller during flight may reduce the noise emissions at the cost of efficiency. Sweep is also shown to have a considerable effect on both efficiency and noise.

Files

Thesis_Stijn_Burger.pdf
(pdf | 10.6 Mb)
License info not available