Session: 36-04 Sensitivity Analysis and Uncertainty Quantification

Paper Number: 151573

Maintenance of Jet Engines: Robust Parametrisation and Reconstruction of Compressor and Turbine Blades 

Maintenance, repair and overhaul (MRO) of jet engines rely on geometric inspection and aerothermodynamic performance analysis of compressor and turbine blades. Therefore, previous studies have developed various airfoil parametrisation and reconstruction methods in order to analyse the variability of airfoil parameters due to manufacturing tolerances and deterioration effects and to investigate the impact of the geometric variability on jet engine efficiency. However, the parametrisation and reconstruction methods used in previous studies were adapted for blades and vanes of specific compressor or turbine stages, while general-purpose methods have not been developed yet for stator vanes and rotor blades. Therefore, this study compiled nominal and measurement data for several compressor and turbine stages of four different commercial turbofan engines. This data was subsequently used to develop general-purpose parametrisation and reconstruction methods based on new approaches for the determination of the camber line, the mathematical description of airfoil profiles at leading and trailing edges and the reconstruction of airfoil shapes. The parametrisation and reconstruction of both nominal and measurement data show that the methods are robust and reliable and provide accurate results. The methods can be utilised for the geometry analysis of non-nominal, especially deteriorated blades and for the geometry alteration of nominal blades to investigate deterioration effects. Furthermore, the analysis demonstrates that robust methods should rely on more sophisticated approaches with fewer underlying assumptions and more complex software routines compared to tailored approaches for specific compressor or turbine stages. Such routines are in particular recommended for nominal blades of high-pressure turbines and deteriorated blades.

Presenting Author: Maximilian Dammann Leibniz University Hannover, Institute of Turbomachinery and Fluid Dynamics

Presenting Author Biography: since 2023: Research assistant, Leibniz University Hannover, Institute of Turbomachinery and Fluid Dynamics (TFD)
2016-2022: Research assistant, Karlsruhe Institute of Technology, Engler-Bunte-Institute, Fuel Technology (EBI ceb)
Research assistant, Karlsruhe Institute of Technology, Institute for Technical Chemistry, Gasification Technology (ITC vgt)
Research assistant, Clausthal University of Technology, Institute for Energy Process Engineering and Fuel Technology (IEVB)

Authors:

Maximilian Dammann Leibniz University Hannover, Institute of Turbomachinery and Fluid Dynamics
Benedikt Schulten Technical University of Braunschweig, Institute of Jet Propulsion and Turbomachinery
Jan Goeing Technical University of Braunschweig, Institute of Jet Propulsion and Turbomachinery
Maximilian Steiner Lufthansa Technik
Max Koster Lufthansa Technik
Jens Friedrichs Technical University of Braunschweig, Institute of Jet Propulsion and Turbomachinery
Joerg R. Seume Leibniz University Hannover, Institute of Turbomachinery and Fluid Dynamics
Lars Wein Leibniz University Hannover, Institute of Turbomachinery and Fluid Dynamics