2D airfoil shape optimisation for unsteady inflow

Master Thesis (2023)
Author(s)

M.J. van Splunteren (TU Delft - Aerospace Engineering)

Contributor(s)

Matteo Pini – Mentor (TU Delft - Flight Performance and Propulsion)

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

Faculty
Aerospace Engineering
Copyright
© 2023 Max van Splunteren
More Info
expand_more
Publication Year
2023
Language
English
Copyright
© 2023 Max van Splunteren
Graduation Date
24-01-2023
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

Propeller propulsion systems combined with Boundary layer ingestion (BLI) have been proposed as a propulsive system to reduce the CO2 emissions of aircraft by 50% by 2050. BLI leads to increased disturbances at the propeller disk and causes more noise due to the fluctuating blade loading. Using the APPU project as a test case, unsteady inflow is used to determine whether a metric to lower the blade loading fluctuation on an airfoil level is possible. Therefore, an optimisation was created using an Euler solver reliant on the harmonic balance method and the adjoint method to lower the computing time of the simulation. The combination of these methods has proven successful in turbomachinery applications. The optimisation scheme uses the modelled APPU inflow conditions to optimise for the drag coefficient while lowering the Root Mean Squared Error of the lift coefficient during the simulations by applying a constraint in various optimisation runs.

Files

Thesis_MVS_FINAL_DEF.pdf
(pdf | 27.2 Mb)
License info not available