Welcome to the website of the Data Management in Mechanical Engineering research group.
We investigate the methodical procedures and processes for the structured collection, development and storage of data and information throughout the entire product life cycle.
The question of semantic relationships between plant and quality data for the adaptation of design data is the starting point for research approaches. Which data can be used to what extent and what conclusions can be drawn from this are questions that the DMB research group is investigating.
The data and information organized with the help of product life cycle management and research data management systems are to be fed back into design and product development in a targeted manner and used for product generation development. The investigated data-driven simulation and development methods include procedures for planning, quality control, life cycle assessment and data analysis, including the use of artificial intelligence and machine learning.
In our research and teaching we deal with a variety of topics, which represent a cross-section of mechanical engineering:
