2013 Volume 53 Issue 2 Pages 207-212
A new mathematical model for sinter ingredients and BF burdens optimization was proposed aiming to reduce hot metal cost, considering the binary basicity (CaO/SiO2) and molar ratio of MgO/Al2O3 of blast furnace slag, sinter composition as the constraints. To solve the optimization model, Genetic algorithm was adopted. The results of the examples indicate that the model is effective to reduce hot metal cost while guaranteeing properties of sinter and BF slag. And the minimum cost of hot metal is attained in optimizing both of sinter ingredients and BF burdens at the same time.