Artificial Intelligence in Automation

itsowl-TP-KRISTINA: AI for quality improvement in spring steel production

01.09.2021 bis 31.08.2022

The production of cold-formed springs steel  is highly error-prone due to irregularities in the starting material and a complex manufacturing process. At the same time, steel springs have to meet the highest quality requirements. In the KRISTINA transfer pilot, AI methods for analyzing and optimizing the manufacturing process are being further developed and operationalized. The goal is to guarantee the quality of the springs independent of material changes by integrating machine learning and information fusion. This will both reduce uncertainties in sensor-acquired data and increase the explainability of the learned models.

This project is promoted by:
Ministerium für Wirtschaft, Innovation, Digitalisierung und Energie des Landes Nordrhein-Westfalen (MWIDE NRW)
Sponsors: Projektträger Jülich
Funding Code: 005-2011-0017
Funding Lines: it’s OWL – Intelligente Technische Systeme Ostwestfalen-Lippe
Stakeholders / Contacts: Christoph-Alexander Holst, M. Sc.
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