Simulation of Secondary Metallurgical Processes by Using Computational Thermodynamics and Comprehensive Statistical Learning Methods

The current work combines interdisciplinary approaches of classic metallurgical modeling and statistical learning methods to simulate the chemical interactions between steel, slag and non-metallic inclusions in secondary steelmaking processes. The Effective Equilibrium Reaction Zone method allows for the prediction of the composition of each individual phase, from BOF tapping to ladle furnace treatment. Using ChemApp/FactSage thermodynamic software along with tank model simulation of the aggregates, detailed simulations are carried out, considering comprehensive plant data of the industrial partner. Moreover, extensive statistical analysis of the production data and chemical composition analysis of steel samples has been performed.

Daniel Kavić | K1-MET GmbH and Montanuniversitaet Leoben
 

Michael Bernhard | Montanuniversität Leoben
 

Roman Rössler | voestalpine Stahl GmbH
 

Christian Bernhard | Montanuniversität Leoben