Master Thesis: Fast NVH Assessment for Electrified Power-trains

The Institute for Machine Elements and System Development (MSE) at RWTH Aachen University focuses on research in drive technology, with an emphasis on vibration analysis.

Today, meaningful NVH statements are usually only possible once a de-tailed CAD model exists and time-consuming FE/eMBS simulations are available. In contrast, this project investigates how simplified but physically meaningful models can be built that already work in early design phases.

Classical NVH chain consists of three part:
Excitation: How gears and electric machines, etc. generate dynamic forces and order.
Transfer Path: How these excitation travel through bearings, mounts and joints.
Radiation: How the housing structure finally radiates sound to the environment.

Depending on interest, this thesis would focus on one of the three parts of NVH chain.

Tasks:

• Literature review of existing NVH modelling techniques.
• Build / verify high fidelity reference simulation models.
• Parametric study over key design and operating variables.
• Automating workflows and post processing of results.
• Develop and validate a fast predictive tool.

Prerequisite:

• Interest in machine learning and drive- train technology
• Basics of signal-processing
• Experience of coding in Python and MATLAB would be beneficial.
• Prior experience with FE & MBS simulation would be beneficial.
• Independent, reliable and thorough way of working

We offer:

• Future-orientated subject area
• Independent organization and flexible working hours
• Customize work focus as per individual interest

We look forward to your application by email:

Viren Mistry, M. Sc. RWTH
Institute for Machine Elements and Systems Engineering

Eilfschornsteinstr. 18, 52062 Aachen
viren.mistry@imse.rwth-aachen.de