2021 Nashville AISTech

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Systematic Application of AI to Quality Optimization From Steelmaking to Galvanizing (Room 209 A)

Excess capacity and margin pressure force steelmakers to adopt new technologies such as artificial intelligence (AI) and machine learning to further increase prime production at minimized costs. Current quality-oriented applications of AI are either restricted to simple, punctual problems that have been solved through conventional optimization by advanced steelmakers in the past, or restricted to mere prediction of quality outcomes. At best, ad hoc online recommendations are provided to operators. Smart Steel Technologies' systematic AI-based approach avoids quality deviations from the outset instead of predicting them. Results from production are presented ranging from the meltshop to the galvanizing line.