Bachelor- / Master’s thesis: Friction Calculation Methods and ZDDP Additive Influence on Lubrication Properties: A Simulation-Based Study (Tribology, Molecular dynamics, LAMMPS, Friction)

Webseite Institute of Machine Elements and System Engineering

The Institute of Machine Elements and System Engineering researches the fundamental structural and tribological behaviour of machine elements and represents them 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 developed models are also used to research and develop methods of Model Based Systems Engineering as a central element of future inductive product development processes.

This master thesis vacancy offers an exciting opportunity to investigate the coefficient of friction and conduct Elastohydrodynamic Lubrication (EHL) simulations with mineral oil containing Zinc Dialkyldithiophosphate (ZDDP) additive using the Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS). The research aims to enhance the understanding of lubrication mechanisms, contributing to the improvement of efficiency and durability in mechanical systems.

Tasks:

  • Conducting a comprehensive literature review on friction calculation methods and the influence of ZDDP additive on lubrication properties.
  • Developing and implementing an efficient methodology for coefficient of friction calculation within the LAMMPS simulation framework.
  • Creating simulation models to investigate the behaviour of mineral oil with varying concentrations of ZDDP additive under EHL conditions.
  • Analyzing simulation results to identify trends, correlations, and mechanisms influencing friction behaviour and EHL performance.

Requirements:

  • Independent and reliable working
  • Interest and an open mind to learn new things
  • Familiarity with the LAMMPS simulation software or similar molecular dynamics packages.
  • Proficiency in programming languages commonly used in scientific simulations, such as Python or C++.Previous knowledge of tribology is an advantage, but not mandatory

We offer:

  • Intensive supervision
  • Immediate start or by appointment
  • Excellent working atmosphere
  • Suitable for homeoffice
  • Promising topic and experience for a future career

 

We look forward to your application by email:

Ankit Singh, M. Sc. RWTH
Institute for Machine Elements and Systems Engineering

Schinkelstraße 10, 52062 Aachen
ankit.singh@imse.rwth-aachen.de

 

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