Development and Validation of a Novel Data-Driven Method for the Analysis of Turbulent Stereo PIV Data of a Film-Cooling Jet
- type:experimental master thesis
- tutor:
Task
The cooling of components subjected to high thermal loads plays a key role in modern gas turbines and aircraft engines. At the ITS, the interaction between cooling air and hot gas during film cooling blowout is being experimentally investigated using stereoscopic particle image velocimetry (SPIV) to measure time-resolved velocity fields in the Division around the film cooling orifice.
To identify transient flow phenomena and coherent structures, various data-driven methods (POD and DMD) have already been applied at the ITS. One method that has not yet been used is the so-called Hilbert Proper Orthogonal Decomposition (HPOD), which allows modes that belong together to be automatically assigned. This enables convective flow structures to be directly identified and coupled with one another. As part of this thesis, the HPOD method will be used for the first time at the ITS. To this end, the HPOD method will first be tested on a validation case and then applied to experimental measurement data. The results will then be analyzed and compared with previous POD results.
This thesis consists of the following work packages:
- Familiarization with the topics of film cooling and data-driven methods
- Development and validation of an HPOD analysis routine
- Evaluation of existing SPIV data using HPOD
- Evaluation and interpretation of the results
