Challenge AIC 12
Optimizing the Amount of FeO in the Slag of Electric Arc Furnaces Using Machine Learning Algorithms

Making slag in electric arc furnaces is an essential part of the process. A significant percentage of the melt in electric arc furnaces is slag which vary depending on the type and quality of input charge as well as the technology used. A portion of the formed slag contains FeO which causes iron loss and reduces the efficiency of the steel making process.

The Challenge:

Using machine learning algorithms to optimize the amount of FeO in electric arc furnaces slag.

Iran’s National Elites Foundation
Islamic Republic of Iran