Bachelor’s thesis or master’s thesis
© IKVTopic of the work:
Tank winding is a key technology for modern high-pressure tanks, especially for hydrogen storage applications. For this purpose, carbon fibers soaked in resin are wound around a core (liner) with different orientations in order to withstand pressures of over 1200 bar. Hydrogen is a key element in Germany’s climate-neutral transformation by 2045 in various sectors such as the steel and chemical industries, the transport sector, energy supply and heat supply.
In order to achieve a resource-efficient design and lightweight construction potential of CFRP H2 pressure tanks, IKV’s methodological approach combines the acquisition of process data and their processing for various manufacturing strategies with their experimental validation. These elements are combined within a digital twin framework that records and interprets relevant process and material parameters throughout the entire production chain. This work focuses on the reconstruction of process parameters and their interaction. The existing processing algorithms of the recorded process are to be combined in an end-to-end methodology to ensure centralized processing of data such as infrared camera images, winding speed or axial travel paths. From this, a digital shadow of the wound pressure accumulators is to be reconstructed, which contains information about the winding path, the fiber bandwidth or the local fiber volume content.
Objective:
The aim of the work is to develop a consistent methodology that processes recorded winding and test data centrally, reconstructs relevant process parameters and derives a digital shadow of the pressure accumulator in order to evaluate production strategies based on data and support the design in a resource-efficient manner.
Your task:
| For a Bachelor's thesis, you will work on the following tasks | For a Master's thesis, you will work on the following tasks |
| Robot-based winding of representative hydrogen tanks | Robot-based winding of representative hydrogen tanks |
| Process recording and processing of data with self-created tools | Process recording and processing of data with self-created tools |
| Developing a central processing strategy for image processing, physical models and geometric relationships of the print memory | Developing a central processing strategy for image processing, physical models and geometric relationships of the print memory |
| Programming of image processing algorithms for the evaluation of IR camera images |
Your profile:
- Technical or scientific degree (preferred: Mechanical Engineering, Computational Engineering Science (CES), Simulation Sciences or Materials Science)
- Independent way of working
- Experience in programming with Python
These are your benefits:
- Insight into automation and digitalization processes of industrial plants
- Independent work with intensive support
- Immediate start possible