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ORGANIZER;CN=ESTAD 2023:mailto:info@metec-estad.com
LOCATION:Room 18b
SUMMARY:Thermodynamic and kinetic simulation of the steelmaking and refining process using thermo-calc and CALPHAD type steel and slag database TCOX12
DESCRIPTION:There is currently a distinct trend in AI / ML type simulations of the steelmaking and -refining process. Such approaches can very accurately predict the outcome of steel processing, however there are 2 major drawbacks:
1) They only work well in the limits, within which the algorithms have been trained. 
2) They are largely a black-box approach, where cause and effect remain hidden.
The alternative approach are physical models, that are based on general principles like conservation of mass, conservation of energy, etc… that hold true far outside the narrow window, inside which steel processing is mostly constrained. This means predictions can be made on what happens when the process leaves this window. While such an event might be rare in a well-controlled industrial environment, it is crucial to know what happens, as the potential damage caused if appropriate action is not taken, can be massive. A further advantage of physical models is that the influence of distinct steps in the processing can be analysed separately, as they need to be explicitly implemented in the physical model. Finally -unlike an AI / ML model, a physical model will also provide information for properties for which no experimental measurements have ever been performed. 
In this paper, a physical model for steelmaking and -refining is presented, that uses thermodynamic equilibria calculated with Thermo-Calc and the CALPHAD type steel and slag database TCOX12. Reaction kinetics are accounted for using the Effective Equilibrium Reaction Zone (EERZ) model. The model is commercially available as the Process Metallurgy Module within the Thermo-Calc Software package and already being used in academic and commercial research. Some application examples are given and if it shown how simulations can be run, directly using process data stored in a Level 2 system.

CLASS:PUBLIC
DTSTART:20230614T121000
DTEND:20230614T123000
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