Data-driven manufacturing process modeling
Table of contents
We are an interdisciplinary team with roots in the development and analysis of machine tools. We combine expertise in data science for production technology and develop solutions for the use of data in engineering applications. Our focus is on the use of algorithms and their practical provision.
We take a holistic view of machine and technology data "from sensor to visualization and decision". The focus is on the following areas:
- Machine health and process interactions: Condition monitoring, anomalies, root cause analysis, interaction models, prognosis, quality assurance, process chains
- Integration of experience, control, measurement and simulation data
- Methods for research data management
- Assistance for data automation and guidelines for the methodical handling of data, e.g.
- Holistic methodology for the use of data in technical applications (DMME Data Mining Methodology for Engineering Applications)
- Paradigm for usable, domain-specific data-based applications and artificial intelligence(Usable AI) in production
- Procedure for the holistic safeguarding of data quality
- Mixed modeling of real and synthetic data in greybox models
Our services for companies and research institutions:
- Mobile demonstrator LOTTA for explaining and experiencing data-based methods for monitoring machine health and the stability of the machining process
- Roadmap development for the introduction of digitalization of laboratory manufacturing and production
- Development of methods for sustainable research data management
- Data exploration to analyze the potential benefits
- Selection of AI algorithms and proof of concept on the test bed
- Qualification offers for data-driven methods and algorithms with a focus on applications in production and machine maintenance
Responsible employees
| Head of department: | Dipl.-Ing. Eugen Boos |
| Research Associates: | M.Sc. Mauritz Mälzer |
| M.Sc. Dorothea Schneider | |
| Dipl.-Ing. Jinghou Bi | |
| Dipl.-Ing. Tim Opatz | |
| Jan Zimmermann M.Sc. | |
| WHK | Rehnuma Ananya M.Sc |
Current projects
| 08/2022 - 07/2025 | KIOptiPack - AI-based control of the thermoforming process of plastic packaging with recycled content |
| 10/2022 - 12/2024 | ProKI-Dresden - AI in forming technology |
| 11/2021 - 10/2026 | PerspektiveArbeit Lausitz - Competence Center for the Work of the Future in Saxony and Brandenburg |
| 02/2021 - 01/2023 |
PreMaMisch - Predictive maintenance system for mixing plants |
| 08/2020 - 07/2023 | RTG 2250 - Impact safety of building structures with mineral-bound composites |
| 07/2019 - 06/2023 | SFB/TR B04 - Exemplary parameter identification |