Bachelor-/Project Thesis: Literature Review: Modelling Methods for the Analysis of Plain Bearings in Sustainable Drivetrains

The Chair for Wind Power Drives researches the behaviour of drive systems in modern multi-megawatt wind turbines. The research objectives are to increase the availability, robustness and energy efficiency of wind turbines and to reduce the energy costs. For this experiment’s with software simulation tools and modern test benches are combined.

The usage of journal bearings as planetary gear bearings in wind turbines instead of rolling bearings is advantageous regarding the power density of the drive train. However, this innovative technology poses a challenge; currently there is no standardised approach for the wearresistant design of the planetary bearing and, in addition, many years of experience are still lacking. Therefore, simulation methods are used to predict the wear resistance over time.

The simulation-based analysis of these plain bearings is currently being investigated. Detailed elastohydrodynamic (EHD) simulations are used to analyse the bearing. However, the consideration of these bearings in the system model of wind turbines requires a significantly simpler modelling method.

The aim of this work is therefore to provide a comprehensive literature review of the various modelling methods, levels of abstraction, simplifications, and standards for plain bearings in wind turbines.

Tasks:

• Familiarization with and literature study of drive technology and plain bearing technology in sustainable drivetrains, with a focus on simulation-based modelling
• Systematic presentation of the state of the art regarding modelling methods, levels of abstraction, simplifications, and standards for the simulation of plain bearings in wind turbines
• Identification of knowledge gaps and derivation of the need for further action

Your Profile:

• Motivation to work independently and responsibly, strong communication and teamwork skills, as well as a good command of either German or English
• Interest in plain bearing technology, wind energy, and simulation technology
• Prior knowledge in the field of simulation and plain bearing technology is advantageous but not mandatory

What We Offer:

• A thesis with industry-related topics and clear relevance, as well as the opportunity to help shape a climate-neutral future
• Intensive support in a highly motivated, interdisciplinary team with a very good working atmosphere
• Option to participate in a scientific publication
• Direct start and home-office possible

Auf deine aussagekräftige Bewerbung per E-Mail freut sich:

Math Lucassen, M.Sc.
Chair for Wind Power Drives

Campus-Boulevard 61, 52074 Aachen
math.lucassen@imse.rwth-aachen.de