Sammanfattning
Charging programs giving rise to desired burden and gas distributions in the ironmaking blast furnace were detected through an evolutionary multi-objective optimization strategy. The Pareto optimality condition traditionally used in such studies was substituted by a recently developed k-optimality criterion that allowed for simultaneous optimization of a large number of objectives, leading to a significant improvement over the results of earlier studies. A large number of optimum charging strategies were identified through this procedure and thoroughly analyzed, in view of an efficient blast furnace operation.
Originalspråk | Odefinierat/okänt |
---|---|
Sidor (från-till) | 1179–1188 |
Tidskrift | Materials and Manufacturing Processes |
Volym | 32 |
Nummer | 10 |
DOI | |
Status | Publicerad - 2017 |
MoE-publikationstyp | A1 Tidskriftsartikel-refererad |