For friction analyses in forming technology, the determination of the acting load collectives (e.g. contact normal stresses) is of high importance. Classical numerical methods such as the finite element method (FEM) provide detailed results but are computationally intensive and require complex modelling.

As part of this work, an AI model based on simulative data is to be developed and validated that predicts the tribological loads in cold forging. The aim is to replace FE simulations to reduce calculation times and enable automated analysis.

The following work packages can be part of the thesis. The specific task will be developed in a joint discussion:

• Introduction to the tribology, Simufact Forming and Python
• Development and training of an AI model for predicting tribological loads
• Build-up of a simulative database with AI-supported experimental design
• Validation of the AI model by comparison with real experiments and FE simulations

Research method

Experimental, theoretical, numerical