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ORGANIZER;CN=ESTAD 2023:mailto:info@metec-estad.com
LOCATION:Room 8
SUMMARY:AMI artificial intelligence developments for stainless steel production in Aperam Genk
DESCRIPTION:The complexity of the stainless-steel production process requires precise control of the electrical and chemical energy input to avoid material or energy losses and deviation from the required bath chemistry. Facing this challenge, an agreement was reached between Aperam Genk and AMI in 2022 to install the SmartFurnace EAF optimization system including the DigitARC PX3 Electrode Regulator and SmartARC for electrical energy optimization, and the Oxygen Module for chemical energy optimization.
Aperam Genk in Belgium is a steel plant dedicated to the production of high-quality stainless-steel grades for the worldwide market. The AC Electric Arc Furnace with 120 tons capacity and 80 MVA transformer has also significant chemical energy available for assisting the scrap melting.
The SmartFurnace system and the SmartKnB platform recently developed by AMI integrates a wide range of technologies including real-time data acquisition and analytics, dynamic control based on complex process logic, and machine learning models all in the same user-friendly environment. The capabilities to follow the process from the raw material intake, analyzing its characteristics in advance to optimize the melting and final steel composition and continuously evaluating correlations between the process and usage of consumables to find the most favorable operating point are some of the functionalities implemented in this platform.
Using the available data from the Aperam Genk process, the AMI system AI algorithms take real-time decisions for the control of the electric power input, and the flow of gas and oxygen given the operation goals and requirements of every heat. After the successful approval of this project, received in November 2022, the next stage in this collaboration is the Slag Module development, optimizing the slag practices using AMI algorithms.

Details of the installed system are presented in this paper, as well as the reported results.

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DTSTART:20230615T100000
DTEND:20230615T102000
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