Scrap charge selection has a significant influence on the thermal balance of the basic oxygen furnace (BOF) process and consequently on the final melt temperature. This paper presents a hybrid deterministic, regression, and machine learning framework for endpoint temperature prediction and steel scrap charge optimizati...
Marek Laciak, J. Kačur, Patrik Flegner et al.· Processes· 0 citations
Temperature control of industrial furnaces is challenging because of large thermal inertia, actuator constraints, and asymmetric heating and cooling dynamics. This paper compares four temperature control strategies for a laboratory bell-type furnace: an analytically tuned internal model control PID (IMC-PID) controller...
J. Kačur, Patrik Flegner, Milan Durdán et al.· Processes· 0 citations
Sliding mode control (SMC) is widely recognized for its robustness against modeling uncertainties and external disturbances. However, asymmetric actuator dynamics, excessive switching activity, and the absence of active cooling challenge its application to electric heating systems. This paper proposes a Model-Assisted...
J. Kačur, Patrik Flegner, Milan Durdán et al.· Processes· 0 citations
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