Bachelor/Master Thesis: Optimization of Surface Parameters for Improved Tribological Performance of Crankshaft Main Bearings

The Institute for Machine Elements and Systems Engineering researches the fundamental structural and tribological behavior of machine elements and represents this in experimentally validated model descriptions. These model descriptions are used to analyze and design the functional, loss, and noise behavior of entire technical systems with a focus on drive technology. The developed models also serve to research and develop methods of Model-Based Systems Engineering as a central element of future industrial product development processes.
As part of the DFG project on the tribological analysis of textured plain bearing systems, a master’s thesis is being offered. This project focuses on reducing friction and wear in plain bearing systems, such as those used in wind turbines and internal combustion engines. Special attention is given to surface texturing, which can contribute to resource-efficient design of machines and plants.

This thesis focuses on the optimization of surface parameters to reduce friction and wear in crankshaft main bearings of internal combustion engines. The aim of this work is to identify optimal surface topographies through targeted variation and analysis of roughness parameters and to validate their influence on tribological behavior both experimentally and through simulation.

Tasks:

• Parameter study to identify optimal surface characteristics
• Conducting EHD simulations with AVL Excite for various surface parameters
• Validation of simulation results using experimental test bench data
• Derivation of design guidelines for optimized surface topographies
• Documentation and critical evaluation of results

Prerequisites:

• Good programming skills in Python
• Interest in interdisciplinary questions between powertrain technology and software engineering

We offer:

• A highly relevant and future-oriented research topic
• Flexibility in defining individual areas of focus
• Intensive supervision by experienced scientists
• Access to state-of-the-art simulation tools
• Immediate start or by arrangement

We look forward to your application by email:

Benjamin Klinghart, M. Sc.
Institut für Maschinenelemente und Systementwicklung

Schinkelstraße 10, 52062 Aachen
Benjamin.Klinghart@imse.rwth-aachen.de