Maschinell trainierter Qualitätssensor, intelligente Prozessteuerung und ein ML-Framework zur ressourceneffizienten, maßgeschneiderten Kohlenstofffaserherstellung (maQinto)
Basic data for this project
Type of project: Participation in BMBF-joint project
Duration at the University of Münster: 01/05/2022 - 30/04/2025
Description
Keywords: Kohlenstofffaser; Prozessteuerung
Funding identifier: 01I522020D
Funder / funding scheme:
- Federal Ministry of Research, Technology and Space (BMFTR)
Project management at the University of Münster
| Risse, Benjamin | Professorship of Geoinformatics for Sustainable Development (Prof. Risse) |
Applicants from the University of Münster
| Risse, Benjamin | Professorship of Geoinformatics for Sustainable Development (Prof. Risse) |
Project partners outside the University of Münster
- Dresden University of Technology (TU Dresden)Germany
- SURAGUS GmbHGermany
- Strucnamics Engineering GmbHGermany
- tapdo technologies GmbHGermany
Coordinating organisations outside the University of Münster
- SURAGUS GmbHGermany