Bachelor/Master Thesis: Python Scripting for Investigating Coupled EHD+T Models in AVL Excite and Abaqus

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 development and implementation of a coupled elastohydrodynamic model (EHD) using Python scripting to connect AVL Excite and Abaqus. The aim of this work is to create an integrated simulation framework that combines the advantages of both software packages to enable more precise predictions of engine component behavior under real operating conditions.

Tasks:

• Development of a Python-based interface framework for coupling AVL Excite and Abaqus
• Implementation of bidirectional data exchange between the simulation environments
• Validation of the coupled model using reference data
• Analysis of convergence stability and computational efficiency of the developed framework
• Evaluation and documentation of simulation 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