Bachelor/Master Thesis: Simulation of Green Fuel

Website Institute of Machine Elements and System Engineering

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.

Background:

In order to reach net zero emission goal in Europe, green energy sources need to be adapted to many engineering systems. Alternative fuels plays important role in this change. This research investigates how methanol fuel can be used in current design of Internal Combustion Engines (ICEs) with high efficiency and less technical difficulties.

Real engine data will be used to integrate into the multibody simulation framework, enabling the prediction of piston/ring dynamics, friction losses, and wear under different e-fuel operating conditions. 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.
Institute for Machine Elements and Systems Engineering

Schinkelstraße 10, 52062 Aachen
yelvin.ragimov@imse.rwth-aachen.de

Um sich für diesen Job zu bewerben, sende deine Unterlagen per E-Mail an yelvin.ragimov@imse.rwth-aachen.de