Conveners
Digitalization, AI & Process Modeling
- Cosmo Di Cecca (Feralpi Siderurgica)
Description
2.2.6
In our previous work, we developed an AI-driven system to optimize slag quality in Electric Arc Furnace (EAF) steelmaking. The system utilized neural networks trained on harmonic signal data to assess slag conditions and recommend optimal carbon and oxygen injection profiles. By reducing reliance on operator estimations, this approach improved slag control and process efficiency. However, the...
The optimization of the tapping process in an EAF (Electric Arc Furnace) is essential for increasing process efficiency and extending the lifespan of refractory materials. Traditional laser scanning methods for assessing furnace geometry are often costly in terms of acquisition. This study explores an innovative approach to scanning an EAF using photogrammetry-based 3D reconstruction,...
The technologies related to EAF steelmaking have continuous developments aiming the improvement of the process performances and of the environmental impact mainly through the reduction of energy consumption, the increase of productivity, the increase of metallic yield and promoting the reduction of CO2 emissions.
This necessary development is also confirmed by the further aimed application of...
The Electric Arc Furnace (EAF) for scrap-based steelmaking plays an important role in realizing the transition towards Green Steel production, due to lower carbon dioxide emissions and inherent circularity compared to the iron-ore-based steelmaking.
This work presents an approach to enhance the performance and reliability of a model-based Decision Support System for EAF online monitoring and...
SmartKnB is an innovative programming platform engineered for advanced control of the Electric Arc Furnace (EAF) steelmaking process. By integrating diverse data sources—from sensor arrays and PLCs to historical logs and real-time imagery—SmartKnB enables the development, testing, and validation of sophisticated control algorithms in a modular, node-based graphic environment. As the core of...
The evolution of steel and slag chemistry in function of secondary metallurgy process parameters can be simulated with good accuracy using Thermo-Calc’s TCOX CALPHAD database and the effective equilibrium reaction zone (EERZ) model that accounts for reaction kinetics.
An interesting aspect of such simulations is tracking the formation and modification of endogenous non-metallic inclusions...