P3.4: This project aims at employing advanced data analyses and methodology in order to investigate process data from different processes in the steelmaking chain, generating process understanding and knowledge on correlations and causations in operation, as well as develop recommendation or warning systems for the operator in order to adjust and improve operation. Topics range from questions on operation and stability of the blast furnace (BF), to the production of ultra-clean steels with Ruhrstahl-Heraeus (RH) treatment and the optimization of the continuous casting (CC) process.
Project Consortium
Joanneum Research GmbH – Institute DIGITAL
Johannes Kepler University Linz – Department of Particulate Flow
Linz Center of Mechatronics – Area SENS
Montanuniversität Leoben
Chair of Cyberphysical Systems
Chair of Ferrous Metallurgy
Primetals Technologies Austria GmbH
voestalpine Stahl GmbH
voestalpine Stahl Donawitz GmbH
Links
Details on the research project can be found on the project webpage.