Taking into account the advancing digitalization within the framework of the “Industry 4.0” initiative, sensor-based monitoring and fault diagnosis of manufacturing processes is increasingly coming into the focus of forming companies. The detection of wear plays a decisive role here. Previous methods, however, were based on offline analysis of tool surfaces. The PtU has therefore developed a measuring system for thermoelectric wear detection that enables the identification of wear development during the running process. Within the framework of a student thesis, this measuring system is to be constructively implemented in a shearing tool and a model (KI-supported algorithm) for predicting wear is to be developed taking into account the process forces.

The scope and the exact contents of the project can be discussed in a non-binding personal discussion.

Modern high performance magnets are gaining more and more importance today as they are a key component for electric motors and generators used in hybrid or electric vehicles. However, materials do not exhibit permanent magnetic properties until they have a suitable microstructure.

On the other hand, metal matrix composites consist of a coherent metal matrix and an internal reinforcement of another material, often in the form of fibres or individual particles. These materials open up new ways of artificially creating the desired microstructure. At the PtU, the production of metal matrix composites by rotary swaging is being investigated. For this purpose, the process is to be modeled in numerical simulation software and investigated with regard to the forming behavior for various concepts.

The exact content of the work can be individually adapted and coordinated in a personal meeting!

Taking into account the advancing digitalization within the framework of the “Industry 4.0” initiative, sensor-based monitoring and fault diagnosis of manufacturing processes is increasingly coming into the focus of forming companies. The detection of wear plays a decisive role here. Previous methods, however, were based on offline analysis of tool surfaces. The PtU has therefore developed a measuring system for thermoelectric wear detection that enables the identification of wear development during the running process. Within the framework of a student thesis, this measuring system is to be constructively implemented in a shearing tool and a model (KI-supported algorithm) for predicting wear is to be developed taking into account the process forces.

The scope and the exact contents of the project can be discussed in a non-binding personal discussion.