Smart system for calculating feedstock in electric steelmaking
Metallics Optimizer uses artificial intelligence techniques to forecast the amount of undesired tramp elements in the scrap before it is melted. The Metallics Optimizer uses this forecast to calculate the lowest-cost composition for the melt's feedstock utilizing optimization algorithms.
Customer challenges addressed
- Provides information on the chemical composition of scrap
- Optimizes charge mixes for entire sequences
- Reduces costs in production and ensures quality at the same time