Experimental Methods of Validation for N

The operation of metallurgical reactors is characterized by high temperatures and aggressive environments, which complicate experimental research in industrial conditions. This study aims to highlight the importance of model-based testing as an essential research tool for empirical identification and analysis of hydrodynamic phenomena in metallurgical reactors. The research utilized a hybrid modeling approach, facilitated by advancements in numerical modeling techniques and computer processing capabilities, to enhance research capabilities at the Model-based Testing Laboratory at the Silesian University of Technology. The findings indicate that dynamic advancements in steel smelting and casting technology necessitate a deeper understanding of the phenomena in metallurgical processes and more precise identification of controlling parameters. The application of similarity theory, leveraging both physical and numerical models, provides a mathematical foundation for the research, facilitating the description of hydrodynamic phenomena through mathematical symbols and functions. Overall, this approach promotes improved understanding of metallurgical processes and offers valuable insight for further advancements in the field.