Knowledge-Based Systems Engineering
In research, we contribute to the dissemination and application of knowledge-based systems and artificial intelligence methods. We offer developers tools for modelling solution spaces for multi-variant product and product-service systems, supporting decisions and automating routine tasks. We pursue two approaches: solution-centred and problem-centred. Our research is incorporated into teaching in order to train students in the modelling of constructive solution spaces and the development of adaptable systems.
Printed Effects
Under the direction of Dr Ehlers, the Printed Effects department develops highly efficient and innovative solutions, particularly in the areas of structural dynamics and thermomechanics, through our research focus on "Effect Engineering" and incorporates this knowledge into teaching. The focus here is on the use of innovative large-scale equipment for laser powder bed fusion, such as multi-material production and effect integration independent of installation space. Using simulation environments such as Ansys and Abaqus, which are integrated into development environments for multi-objective optimisation, we design the highly efficient components. In addition to the design of new products, effects are implemented in the repair of high-quality capital goods using additive refurbishment.
Data Driven Design (D³)
In the Data Driven Design (D³) department, under the leadership of Ms Wurst, we conduct research into data management in the development process and specifically the feedback of field data into development under the paradigm of "technical inheritance". Further research focuses are the cost-optimised development of product service systems and questions of scaling in combination with our "Generative Design Approach".
Data Management and Analytics
The Data Management and Analytics department focuses on the development of highly adaptive headlamp systems and functions based on field and vehicle data. The use of innovative vehicle functions can increase comfort and safety on the road.
With the help of field and vehicle data, digital twins are created as a framework for the data management of technical systems. Data ontologies are being developed in order to standardise data collection, storage and transfer. New vehicle functions can be developed on the basis of the collected data.
Optical Systems
As the Optical Systems department, we develop systems that provide spatially, temporally and spectrally customised light for a wide range of applications. One focus of our work is vehicle lighting technology. We develop highly adaptive vehicle headlights that increase comfort and safety on the road.
At the same time, we are dedicated to the additive manufacturing of optical systems as part of two transdisciplinary, cross-institute research alliances. Here, we are investigating the question of what optical systems could look like in the next 10 years in order to exploit the full potential of additive manufacturing technologies in terms of miniaturisation, cost efficiency and functional integration in optical device construction.
Our approaches range from the simulation of optical paths to the design of complete systems, including control systems, right through to sampling. The measurement technology required for this is available at the Institute for Product Development and Device Construction.