Predictive Mechanism Generation of SAF Surrogate Components
- Institut
- Professur für Sustainable Future Mobility
- Typ
- Masterarbeit
- Inhalt
- theoretisch
- Beschreibung
Job Description
Increasing environmental pollution and the economic impact of conventional fuels have gained significant attention in recent times. Most commercial and military aircraft are powered by gas turbine engines, where engine efficiency and fuel flexibility are essential requirements. The concern about gas turbine emissions has led to rapid changes in regulatory standards and motivated research toward deploying clean and sustainable fuels in the aviation sector. Sustainable Aviation Fuels (SAF) are renewable fuels derived from biological raw materials and have proven potential to attain a carbon-neutral cycle. However, the influence of SAF on pollutant formation is little investigated and requires careful investigation for designing an efficient combustion system.
The scientific objective of this work is to understand the physical-chemical process involved in the combustion of SAF, which can be achieved by developing a chemical kinetic model to accurately predict flame characteristics. This student thesis deals with the creation of detailed kinetic models for the component species of Fischer-Tropsch (FT) and Alcohol-to-Jet (ATJ) type SAF surrogate components using a software Reaction Mechanism Generator (RMG). The research work provides the students an opportunity to enhance their knowledge of chemical processes involved in the combustion of SAF and also improves their computational skills.
Your Tasks
- Generate chemical kinetic mechanism for the component species of SAF surrogate using RMG.
- Perform reactive flow analysis (0D and 1D) in Cantera to calculate combustion characteristics (flame speed, ignition delay, species concentration etc.).
- Comparative analysis of the RMG-generated mechanism with the mechanisms available in the literature.
- Validate the results of the RMG mechanism against the experimental results.
- Determine key reaction pathways and species affecting the flame behaviour.
- Improve the RMG database for heavy hydrocarbons.
Our Requirements
- Interest in combustion theory.
- Basic knowledge of chemical kinetics.
- Good understanding of thermodynamics.
- Interest in programming.
- Ability to work independently.
- Understanding of chemistry would be an additional advantage.
Our Offer
- Gain insight into the mechanism of pollutant formation.
- Hands-on experience on software development and improvement.
Contact
If you have any questions or are interested in working with our team, please send your application to Pooja Nema (pooja.nematum.de).
- Möglicher Beginn
- now
- Kontakt
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Pooja Nema
mailto:pooja.nematum.de - Ausschreibung