Leakage is one of the important technological challenges in mechanical systems, dealing with various fluids ranging from water and lubricants to H2 under pressure. In this thesis we aim to model the leakage trough a rough contact of an elastomer against steels in a static elastic state. The issue is that the roughness has a multiscale nature ranging from micrometers to nanometers and the leakage might occur in different scales. For this aim, there are a range of methods and theories to calculate leakage in the literature.

• During your thesis you will provide a review of the existing models and implement the most useful one for industrial application.
• Consequently, you will compare the model with the internal contact mechanics tools at the company and with analytical multiscale equations in engineering applications.
• Finally, you will derive surrogate or meta models to predict the leakage based on simulation data with simplified equations. 

Qualifications

• Education: Master studies in the field of Computational Engineering, Physics, Numerical Mathematics, Industrial Mathematics, Mechanical Engineering or comparable with very good grades
• Experience and Knowledge: in simulation and mathematical modelling; first experience with Python and/or MATLAB
• Personality and Working Practice: you excel at structuring tasks independently and with discipline
• Work Routine: your on-site presence is required
• Languages: fluent in English and good in German

Additional information

Start: according to prior agreement
Duration: 6 months

Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job?
Arshia Fatemi (Functional Department)
+49 711 811 6949

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