Development of a Python tool for the analysis and evaluation of high-speed images in combustion anomalies
Development of a Python tool for the analysis and evaluation of high-speed images in combustion anomalies
The use of carbon-free fuels such as hydrogen instead of conventional fuels such as natural gas in large engines helps to reduce greenhouse gas emissions. The experimental investigation using optical measurement techniques aims to reveal the mechanisms behind combustion anomalies in a high-speed large engine.
Target:
The aim of this work is to develop an automated tool for analyzing and evaluating the recorded combustion chamber images, thereby gaining further important insights from the available measurement data.
Tasks:
- Literature review on the topics of hydrogen combustion, with a particular focus on combustion anomalies
- Becoming familiar with the existing database and analysis tools, further developing the tools to facilitate statistical analysis and improve them for future measurements
- Analysis of the results generated
- Writing the bachelor’s thesis
Starting date: To be agreed
Duration: Approximately 3 months
Contact:
Univ.-Prof. Dr.-Ing. Nicole Wermuth, +43 (316) 873-30087, nicole.wermuth@lec.tugraz.at
Dr. Kevin Gschiel, +43 (316) 873-30259, kevin.gschiel@lec.tugraz.at