During operation of a jet engine, performance deteriorates over time. This will lead to an increase in operational costs. For this reason, reverse engineering processes are required to evaluate the behavior of engine components and to investigate the influence of geometric parameters on performance. The main objective of this project is to improve the aerodynamic performance of a jet engine. The fan, the low pressure and the high pressure compressor of the turbofan engine in particular are of interest.
IFAS has developed its own in-house MATLAB tools for analyzing the geometric parameters of the blade, creating a 3D blade model, generating a CFD mesh and performing a Design of Experiments (DoE). These tools were developed for the V2500 engine and will be modified for analysis of further engines.
CFD simulations will be performed using the 3D unsteady flow solver “TRACE” developed by the DLR. A Sensitivity analysis based on DoE will be performed, showing which geometric parameters of the blade have the greatest influence on the aerodynamic performance. A meta-model is then created from these results using the Kriging method. This meta-model allows the prediction of the aerodynamic performance of geometry variants that can be generated as desired within a given range.
Siddhartha Kudeti, M.Sc.
Ingo Voissel, M.Sc.