Master's Thesis: Multi-Fidelity Propeller Optimization (all genders)

ABOUT THE ROLE We are looking for a Master's student to join our growing Aerodynamics team and carry out a thesis project on the development of a multi-fidelity propeller optimization framework for our hybrid-electric eVTOL aircraft. You will help extend an existing automated propeller design workflow - covering geometry generation, meshing, CFD simulation and post-processing - into a full optimization environment that combines fast Blade Element Momentum Theory (BEMT) predictions, high-fidelity CFD, and aeroacoustics prediction. Your thesis will directly support propeller designs that perform efficiently across hover, transition and forward flight. The thesis takes around six months and is supervised jointly by our Aerodynamics team and the Chair of Aerodynamics and Fluid Mechanics at the Technical University of Munich (TUM). WHAT YOU WILL DO Conduct a literature review on propeller optimization methodologies and multi-fidelity approaches Familiarize yourself with two existing frameworks for propeller design optimization: low-fidelity BEMT environment, automated CFD surrogate modeling-based optimization framework Integrate aeroacoustics prediction methods, in the form of PSU-WOPWOP, as part of the low-fidelity BEMT framework Develop methods and strategies to leverage both frameworks and incorporate them into a combined multi-fidelity optimization framework Revise and update the automated geometry generation, CFD simulation execution, and post-processing into a unified workflow In the process you will parametrize the propeller design and perform an optimization of a test case eVTOL propeller, generate the pareto-front between efficiency and noise Validate low-fidelity predictions against CFD reference solutions Conduct optimization studies for representative flight conditions, evaluating solution quality, computational cost and convergence Optionally: utilize surrogate models to incorporate feedback from high fidelity model to low fidelity model for improved optimization convergence and acceleration Document your methodology and findings in your final thesis report WHAT YOU BRING Are a student of mechanical engineering, aerospace engineering, physics or a comparable field, enrolled at TUM and working towards your Master's degree Bring familiarity with CAD and CFD software, ideally Siemens NX and Ansys Fluent Hold foundational knowledge of aircraft and propulsion aerodynamics Have basic knowledge of numerical methods and optimization techniques Have strong Python programming skills Are able to work independently and collaborate with a team Have good written and verbal communication skills in English Bring an interest in aeroacoustics and propeller noise prediction Moreover, it would be helpful if you also have prior exposure to Blade Element Momentum Theory or other low-fidelity aerodynamic methods have experience with aeroacoustics prediction methods like PSU-WOPWOP have experience with HPC-based simulation workflows …