Prof. Dr.-Ing. Sandro Wartzack
Chair of Engineering Design
- Digital engineering (assistance systems in product development, knowledge-based design, knowledge-based product simulation, systems engineering, VR/AR)
- Plausibility checking and singularity detection in FE simulations using deep learning
- Ontologies in the context of AI as a basic structure for knowledge-based systems in product development (data and text mining)
- Automated adaptation design of mechatronic products (data mining, machine learning, system modeling)
- Categorization of data-driven technologies for product development
- Simultaneous development of a self-learning assistance system
- Assistance system for noise-reduced design of rotating machines (machine learning to predict tonalities)
- AI-based generation of depth of field
- Integrated tolerance management
- Tolerance specification by means of ontologies
- Metamodels for predicting the geometric accuracy of additively manufactured components
- User-centered product development
- Affective engineering: AI-supported shape optimization
- Biomechanical human simulation: data-driven interaction prediction, result evaluation/classification
- Machine elements and tribology
- AI-supported layer design
- Machine learning in drive technology