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We research, develop, and transfer AI-supported methods for automating technical design processes through specified, implemented assistance systems.
Projects
Funded research projects
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Design of hybrid solid components (SFB 1153)
The starting point for the project is the question of how tailored forming components need to be designed in order to exploit the potential of hybrid solid components. Based on this, computer-aided assistance systems are provided for the design of hybrid solid components, e.g., for the steel-aluminum material combination or for production-oriented design.
contact person: Felix Pusch, M. Sc.
Felix Pusch, M. Sc.Research Staff
PhoneAddressAn der Universität 1
30823 GarbsenBuildingRoom
Felix Pusch, M. Sc.Research Staff
Phone -
Development of an additively manufactured hydrogen heat exchanger
In cooperation with our industry partner FUNKE Wärmeaustauscher Apparatebau GmbH, we are researching the design and additive manufacturing of a heat exchanger for hydrogen applications. In addition to the design, the project also focuses on the automated configuration of the heat exchangers.
contact person:
Christian Becker, M. Sc.Research Staff
PhoneAddressAn der Universität 1
30823 GarbsenBuildingRoom
Christian Becker, M. Sc.Research Staff
Phone -
Automated scaling of ladder terminals
In cooperation with WAGO GmbH & Co. KG, we are researching the automated scaling of conductor terminals within a product series. By linking CAD and FE systems in a shared development environment, we are specifically analyzing the design and mechanical effects of scaling-related parameter changes.
contact person:
Further research projects
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Mathematical modeling of design tasks
In this research project, we investigate how constructive problems can be systematically mapped onto established mathematical problem classes, such as those from constraint programming or graph theory. The aim is to develop a classification scheme and a guide that provides methodological support to designers in the mathematical modeling and algorithmic solution of constructive tasks.
contact person:
Dr. Kevin Herrmann, M. Eng.Research Staff
Phone
Dr. Kevin Herrmann, M. Eng.Research Staff
Phone -
Large language models as design assistants
In this research project, we are investigating how large language models can be used specifically as assistance systems in various phases of the design process, particularly with regard to their methodological control, knowledge provision, and design options. The aim is to develop formal principles and application limits for the model-based use of language models in technical product development.
contact person:
Dr. Kevin Herrmann, M. Eng.Research Staff
Phone
Dr. Kevin Herrmann, M. Eng.Research Staff
Phone -
Configuration of wireless sensor networks through optimal sensor placement for AI-based structural monitoring in manufacturing and use
This research project is creating a development environment for optimal sensor placement and networking in wireless sensor networks for structural mechanical monitoring. The aim is to use a knowledge base and physics-informed neural networks to capture highly accurate field information with a minimum number of sensors, whereby the sensor arrangement is optimized by jointly considering manufacturing and usage influences.
contact person:
Sören Meyer zu Westerhausen, M. Sc.Research Staff
PhoneAddressAn der Universität 1
30823 GarbsenBuildingRoom
Sören Meyer zu Westerhausen, M. Sc.Research Staff
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Multi-agent systems as decision support in design
In this project, we are virtualizing the design review and automating the assessment of individual component designs in terms of their manufacturability and functional reliability through the use of virtual agents. These agents represent autonomous, decentralized representations of experts from different domains who can work together to find the optimal component design through perception, communication, and negotiation.
contact person:
Christian Becker, M. Sc.Research Staff
PhoneAddressAn der Universität 1
30823 GarbsenBuildingRoom
Christian Becker, M. Sc.Research Staff
Phone -
Seating comfort optimization through customized, additively manufactured seat cushions
In cooperation with FORVIA, research is being conducted into the individualized design of seat cushions for automotive interiors. To this end, foam-replacing lattice structures are being investigated and geometries optimized for seating pressure are being developed and additively manufactured using algorithmic designs.
contact person: -
User interface for working with generative CAD models
The research deals with modeling an application of the “generative design approach” using knowledge-based development methods. This creates a development environment that generates different variants from a large solution space during the development process.
contact person:
Dr. Kevin Herrmann, M. Eng.Research Staff
Phone
Dr. Kevin Herrmann, M. Eng.Research Staff
Phone -
Computational design synthesis for the development of bone-anchored implants
The research aims to automate the design of implants, e.g., for the hip. We use algorithmic methods to build a model of the design process itself, which is used to generate an individual implant for each application. CT scans form the basis for this, and the implants are then manufactured using additive manufacturing. The surface structuring through selectively applied lattice structures supports bone ingrowth.
contact person:
Dr. Kevin Herrmann, M. Eng.Research Staff
Phone
Dr. Kevin Herrmann, M. Eng.Research Staff
Phone -
Learning support through digital teaching resources in design engineering
In these projects, we are researching the use of knowledge-based systems for training designers and integrating intelligent tutoring systems. These provide our students with automated individual feedback on uploaded design tasks, thus complementing our classroom teaching.
contact person:
Dr. Kevin Herrmann, M. Eng.Research Staff
Phone
Dr. Kevin Herrmann, M. Eng.Research Staff
Phone
Skills
Current events
Design Automation and Artificial Intelligence (DAAI)
Management
Research Staff