The cooperative R&D project AI4Lab2Plant - knowledge transfer through artificial intelligence from the laboratory to the industrial plant - has started! The project team discussed initial activities in a consortium meeting and planned further steps.

AI4Lab2Plant aims to improve the practicability of machine learning algorithms and models in an industrial environment. To this end, the consortium is investigating the feasibility using the coating process of continuous casting molds in the steel industry. By combining novel algorithms and domain knowledge, the aim is to develop prediction models for coating properties that work not only in the laboratory but also in large-scale production facilities. The methods developed are to be published as open source software, thus ensuring low-threshold access for further applications.

Project partners:

• FH OÖ Forschungs & Entwicklungs GmbH
• K1-MET GmbH
• voestalpine Stahl GmbH