Project / Bachelor thesis: Optimization of Real-Time Simulation Model for Sliding Bearings– Hyperparameter Tuning and Data Processing

The Institute of Machine Elements and System Engineering researches the fundamental structural and tribological behavior 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 behavior 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.

In recent years, the integration of artificial intelligence (AI) and machine learning (ML) techniques in tribology has revolutionized the understanding, prediction, and control of friction, lubrication, and wear phenomena. This integration has opened up opportunities for more accurate modeling, efficient optimization, and enhanced control of these processes. Therefore, the application of ML approaches can provide a solution to the highly timeconsuming conventional numerical simulations used for calculating sliding bearings, making them suitable for realtime applications. The objective of this thesis is to optimise the ML modell for real-time sliding bearing simulation by tuning the hyperparameter and data processing.

Tasks:

• Literature Review: Conduct a thorough review of real-time Simulation models, hyperparameter tuning, and data processing techniques for mechanical systems.
• Hyperparameter Optimization: identifying the optimal combination of parameters to improve model accuracy.
• Data Processing Improvement: Develop and implement efficient data processing methods.
• Evaluation: Validation of the developed module through comparison with existing numerical simulations.

Requirements:

• Motivation to work independently and responsibly
• Interest in programming and machine learning
• Previous knowledge in the field of simulation and programming (e.g. MATLAB/PYTHON) is desirable, but not mandatory.

What we offer:

• Participation in an international research project
• Intensive support in a highly motivated and interdisciplinary team
• Learning of practice-relevant simulation methods
• Option to participate in a scientific publication
• Immediate start possible
• Flexible working hours

We look forward to your application by email:

Ahmed Saleh, M. Sc.
Institute for Machine Elements and Systems Engineering

Schinkelstraße 10, 52062 Aachen
ahmed.saleh@imse.rwth-aachen.de