Models to Predict Carbon and Temperature in the Steelmaking Electric Furnace
Reduce the differences between the real carbon results measured by Celox in the Steelmaking electric furnace and the carbon results obtained through a model (statistical/machine learning). In the past, a model with this objective had already been created and was being used. However, since the end of 2021, a large difference has been observed in these results, indicating the need to analyze what happened during this period and which variables influence the carbon result more significantly and with greater accuracy. Being a well-adjusted model, it will be possible to have some financial gain and other non-measurable gains.
Authors:
Marcella Café | Vallourec
Gabriel Fonseca | Vallourec
Diego Santiago | Vallourec
João Axer | Vallourec
Rosiane Faleiro | Vallourec
Bruno Mesquita | Vallourec
Session Chairs:
Sam Matson | Commercial Metals Company - Texas
Brett McGee | Mid-Continent Coal & Coke Co.
Charles Ochola | National Slag Association
Models to Predict Carbon and Temperature in the Steelmaking Electric Furnace
Category
Paper and Presentation
Description
Session: Electric Steelmaking: Media Transport
Track: Electric Steelmaking
Date: 5/7/2024
Session Time: 10:00 AM to 12:00 PM
Presentation Time: 11:30 AM to 12:00 PM
Track: Electric Steelmaking
Date: 5/7/2024
Session Time: 10:00 AM to 12:00 PM
Presentation Time: 11:30 AM to 12:00 PM