Kennziffer – D MUC TEGA
Wir sind über 13.000. An 19 Standorten weltweit. Jedes dritte Flugzeug fliegt mit unserer Technologie.
Immer effizienter, leiser, nachhaltiger. Wir gestalten die Zukunft der Luftfahrt. Was wir noch brauchen? Dich.
Unser Team sucht Dich:
Master Thesis: Oil Condition Monitoring
in München
Kennziffer – D MUC TEGA
Online monitoring of lubrication oil condition in aircraft engines is a key component of future Engine Health Management (EHM) concepts. Due to normal operation, contamination, or sudden component malfunctions, changes in the oil occur. These changes such as aging, additive depletion or contamination can impair lubrication performance and thermal stability. This can potentially leading to increased wear or system failures. Therefore, early detection and prediction of such changes are essential for maintenance planning purposes and maintaining system functionality.
As part of a development project, a novel sensor that measures the thermal effusivity of liquids is being tested, enabling conclusions about the oil condition. This “Oil Condition Sensor” will be further investigated and validated within the scope of this Master’s thesis.
The goal of this Master’s thesis is to mathematically model the measurement principle of the “Oil Condition Sensor” and validate it through suitable laboratory tests.
STARKE AUFGABEN
- Conduct a literature review on factors influencing thermal effusivity, oil aging and contamination, e.g. coolant ingress in aircraft engines
- Select relevant oil conditions and define realistic scenarios for the sensor validation, taking into account influencing factors on the measurement
- Prepare and perform laboratory tests using the sensor system
- Assess the sensor’s performance under various operating conditions e.g. accuracy, robustness, and distinguishability of the measured fluids
- Mathematically model the “Oil Condition Sensor” for measuring thermal effusivity
- Develop a model to simulate sensor behavior under different oil conditions
- Discuss and summarize the results in the written thesis, including recommendations for further development and integration into EHM Systems
BESTE VORAUSSETZUNGEN
- Studies in Aerospace Engineering, Mechanical Engineering or a comparable field at the Technical University of Munich
- Basic understanding of sensor technology and measurement systems
- Experience in mathematical modeling and data analysis
- Interest in condition monitoring and engine health management
- Very good English skills
- Strong analytical thinking and the ability to work structured and in a scientific matter
The timeframe for the thesis is 6 months between August 2026 and March 2027.
Idealerweise stehst du für einen Zeitraum von mindestens acht Wochen zur Verfügung.
AUSGEZEICHNETES UMFELD
- Einblicke in die Luftfahrtbranche und Jobs mit Verantwortung
- Teamspirit u.a. durch Studi-Netzwerk & Events
- Mentoring und individuelle Betreuung
- Flexible Arbeitszeitmodelle mit mobilem Arbeiten
- Kantine, Cafébar und Verkaufsshops
- Sportkooperation mit EGYM Wellpass & Betriebssportgruppen
- Top-Anbindung durch Pendlerbus, Parkhaus, E-Ladestation
STARTKLAR?
Dann gib deiner Bewerbung Schub und schick uns deine Unterlagen (Lebenslauf, Notenübersicht der Hochschule, Schulabschlusszeugnis sowie eine aktuelle Immatrikulation) online. Gleich jetzt, gleich hier.
Wir freuen uns auf Dich!
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