Bachelor thesis / Master thesis: Simulation of plain bearings in innovative Wind turbines

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.

This thesis will focus on these methods, to predict the dynamics of plain bearings in wind turbines. For this, numerical studies will be performed on simulation models with different detail levels.

Tasks:

• Modelling of gearbox components for wind turbines with a focus on plain bearings (e.g. CAD, FEM, MKS & EHD)
• Automating routine tasks, e.g. with Matlab scripts
• Execution of simulations, as well as evaluation and documentation of the results
• Predict the dynamics of plain bearings in wind turbines
• Research the state of the art of wind turbine drive trains and specifically journal bearings.

Your profile:

• Very independent and reliable way of working
• High interest in wind energy, drive technology and interdisciplinary issues along with a high level of commitment
• Prior knowledge in the field of modelling and simulation is advantageous, as is basic knowledge in programming.
• Wants to help shape a cleaner future

What We Offer:

• A master’s thesis with industry-related topics and clear relevance, as well as the opportunity to help shape a climateneutral 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

We look forward to your application by email:

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

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