Bachelor/Master Thesis: Experimental Analysis of Bearing Tribology in E-fueled Combustion Engines

Stellenbeschreibung:

The Institute of Machine Elements and System Development researches the fundamental structural and tribological behaviour of machine elements and depicts this in experimentally validated model descriptions. These model descriptions are used to analyse and design the functional, loss and noise behaviour of entire technical systems with a focus on drive technology. The models developed are also used to research and develop methods of model-based systems engineering as a central element of future, inductive product development processes.

The Tribology department at MSE researches the tribological behaviour of machine elements. The focus of research is on application-orientated basic research. Key topics include the interactions between the lubricant and the surfaces of the lubricated components, the wear behaviour of machine elements and the changes in lubricants caused by use. Other key topics include condition monitoring and service life prediction of machine elements.

In a research project, the influence of e-fuels (e.g., methanol) on the efficiency and durability of engine components is being investigated. Multibody simulation model will be developed using AVL Excite Power Unit. Fundamental tribometer experiments on bearings and crankshaft contact (pin-on-disc contact with reciprocation module) are planned with various fuel-lubricant dilution ratios and component materials.

Experimental data will be analyzed to create friction and wear predictions on certain pair of materials and coatings of the engine components. This combined experimental–simulation approach allows systematic evaluation of fuel–material–lubricant compatibility and their impact on engine performance and durability.

Tasks:

  • Experimental Setup and Testing (Tribometer)
  • Data Collection and Analysis
  • Simulation Work via AVL Excite

Requirements:

  • Independence and reliability
  • Interest on Tribology and ICEs
  • Hands-on mentality
  • Good knowledge of English

What we offer:

  • Intensive support & mentoring
  • Flexible work focus
  • Co-authorship in research publication

We look forward to your application by email:

Yelvin Ragimov, M. Sc. RWTH
Institute for Machine Elements and Systems Engineering

Schinkelstraße 10, 52062 Aachen

#J-18808-Ljbffr
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Stelleninformationen

  • Veröffentlichungsdatum:

    30 Jan 2026
  • Standort:

    Aachen
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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