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ORGANIZER;CN=ESTAD 2023:mailto:info@metec-estad.com
LOCATION:Room 8
SUMMARY:Tenova A.I. solution for scrap charge management at O.R.I. MARTIN S.P.A.
DESCRIPTION:Metal scrap is a strategic raw material for the steel industry, accounting for a demand of nearly 30% of the metallic charge required for the global crude steel production, with the share that is foreseen to increase in the mid-term future. In scrap recycling steel mills, the scrap is typically loaded into an Electric Arc Furnace (EAF) in a controlled manner, tracking what goes in the charge mix and relating it to the quality of the liquid steel. Accurate tracking of scrap material from the time it enters the plant to the time it exits the furnace as liquid steel requires multiple technologies.

The presentation describes the machine learning applications implemented in Ori Martin’s Steel Mill in Brescia, Italy, as part of the Lighthouse Plant “Acciaio_4.0” project in collaboration with Tenova. The project was selected by the Italian Smart Factory Cluster (Cluster Fabbrica Intelligente), on behalf of the Italian Ministry of Economic Development (MISE).
The project created a Smart Factory in Ori Martin Steel Plant by integrating the enabling technologies of Industry 4.0 in the steelmaking process.

The presentation focuses on the following solutions:
•	Automatic metal scrap classification
•	Identification of bulky material on Consteel® to prevent damaging EAF electrodes
•	Finding correlation between loaded scrap material and tramp elements in liquid steel
•	Optimization of charge mix with strict requirements on residual elements content
•	Rating of scrap suppliers based on production results

The solutions involve the use of convolutional neural networks for image classification and various machine learning algorithms for process and sensor data.

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DTSTART:20230615T111000
DTEND:20230615T113000
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