Masterarbeit: Frequenzanalyseverfahren für mehrfrequente aeroelastische CFD-Simulationen
Core
Validating and evaluating a modern frequency analysis method for multi-frequency aeroelastic CFD simulations in modern aircraft engines.
Role type
Master's thesis researcher (aeroelasticity & CFD)
Builds
Industrial CFD workflow integration for engine component design
Domain
Aerospace engineering, fluid dynamics, aeroelasticity
Deliverable
research
Required skills
Fluid mechanics, aerodynamics, turbomachinery, aeroelasticity, signal processing, Python programming, numerical simulation methods
Preferred skills
Experience with URANS-CFD, industrial application cases, parameter identification, best-practice derivation
Technologies
Python, URANS-CFD, CFD
Responsibilities
Analyze aeroelastic and unsteady flow phenomena in modern aircraft engines, conduct and evaluate large URANS-CFD simulations, validate the frequency analysis method using industrial application cases, investigate accuracy and robustness of multi-frequency flow phenomena, develop and extend Python-based evaluation and automation tools, identify usage limits and derive suitable parameters and best-practice settings for industrial use, document and present results in the MTU Aero Engines development environment