Automated Reduction and Optimization of Chemical Kinetic Mechanisms for SAF-Surrogate Fuel Combustion

Institut

Professur für Sustainable Future Mobility

Typ

Bachelorarbeit / Semesterarbeit / Masterarbeit /

Inhalt

theoretisch /  

Beschreibung

Job Description

Due to the ever-more urgent problem of global warming, the aviation industry is looking towards using Sustainable Aviation Fuels (SAF). While using SAF leads to a reduction in CO₂ emissions, and might even result in net carbon neutrality, the problem of non-CO₂ emissions, like nitrogen oxides (NOx) and soot, is not directly tackled. As the usage of current reaction mechanisms describing these phenomena are way to computationally expensive to be used by the aviation industry, the kinetic mechanisms need to be reduced without loosing their prediction capability.

This student thesis aims at the implementation of a optimization strategy for the reduced mechanisms. A detailed mechanism that predicts set targets well needs to be reduced, analyzes and then optimized. Due to the ever-changing composition of SAF and their surrogates this process needs to be done as automated as possible.

Your Tasks

• Develop and implement a method for optimization of reduced mechanisms
• Select and compare suitable detailed starting mechanisms
• Reduce and optimize the selected mechanism
• Perform reactive flow analysis to calculate relevant combustion characteristics
• Analyze your resulting mechanism to iteratively improve on the optimization method

Our Requirements

• Basic knowledge in chemical kinetics and programming (Python/C++)
• Ability to work independently
• Optional: Knowledge in combustion

Our Offer

• Gain inside into the research field of chemical kinetics
• Contribute to the implementation of sustainable fuels into the aircraft industry
• Work within an international research team

Contact

If you are interested in working in our team, please send your application to Michael Geuking (michael.geuking@tum.de).

Möglicher Beginn

now

Kontakt

Michael Geuking
michael.geukingtum.de

Ausschreibung