Bachelor / Master thesis: Digital Twin Framework for Stern Tube System of SA Agulhas II

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.

Climate change is creating new shipping routes in polar regions, increasing collisions between ship propellers and sea ice. This results in high impulse loads on propellers and stern tube shaft bearings, making monitoring crucial for vessels in harsh environments like icecovered waters. A digital twin framework offers a promising solution by supporting operational decisions and enabling predictive maintenance for propulsion systems.

The aim of this thesis is to develop a digital twin framework for intelligent monitoring, maintenance, and life prediction of the Stern Tube System on the SA Agulhas II, a South African polar research vessel and icebreaker.

Tasks:

• Literature Review: Conduct a thorough review of digital twin technologies and their applications in marine engineering, focusing on similar case studies, benefits, challenges, and existing frameworks.
• Concept Development: Design a digital twin concept specific to the stern tube system, outlining the integration of real-time data acquisition, system modeling, and predictive analysis.
• Framework Development: Create a detailed digital twin framework that establishes a foundation for future implementation of virtual modeling, real-time simulation, and monitoring capabilities
• User Interface Design: Develop a user-friendly interface for the digital twin, facilitating easy access to data visualization and decision-making tools for operators.

Requirements:

• Motivation to work independently and responsibly
• Interest in powertrain and simulation technology
• Prior knowledge in the field of mechanical systems as well as machine element design.
• 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