Speaker
Description
In modern steel productions, the necessity of a more precise knowledge and control of the process became more important in order to improve production performances, to maintain repeatability on the product quality, to support the necessary process flexibility due to frequent changes in production programs. This became more necessary in Feralpi Group for the case of special steel production.
For this reason the capability to better understand the phenomena in the different process phases of the steelmaking process including scrap melting, steel treatments in ladle and solidification process in continuous casting is important to better setup the proper operating practices in a more precise manner. In this approach a through process view is necessary to respect the process and quality constrains aiming at the best performances of productivity and energy consumption.
To better summarize the knowledge and competences of steelmaking process and metallurgy gained in process management mathematical models have been created internally to Feralpi in order to be able to better setup the optimal operating practices for each process phases as EAF, Ladle Furnace, and continuous casting.
In this way with the contribution of the R&D department, process technology and production areas predictive mathematical models have been created for each production phase and also included in representation of whole steelmaking process.
Based on the off line approach also the on-line Dynamic Decision Support Systems have been created in order to gain in real time process management rules as guideline to support the production technicians in each process phase with a through process view of whole steelmaking area.
This realized for both production site of Feralpi Siderurgica and Acciaierie di Calvisano with the contribution of Rina Centro Sviluppo Materali, Politecnico di Milano and Visiorobotics collaborating as partners in European funded projects RFCS and at local level (Regione Lombardia).