Optimizing Iron Ore Matching for Sintering Based on High Temperature Characteristic Numbers

In view of the traditional evaluation index of sintering basic characteristics ignoring process information, several high temperature characteristic numbers, which contain process information, were used to evaluate the sintering basic characteristics more comprehensively in this paper. The evaluatio...

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Veröffentlicht in:9th International Symposium on High-Temperature Metallurgical Processing S. 1
Hauptverfasser: Zhao, Yong, Wu, Keng, Zhan, Wen-long, Zhu, Chun-en, Du, Xiao-dong
Format: Buchkapitel
Sprache:Englisch
Veröffentlicht: Switzerland Springer Nature 2018
Springer International Publishing AG
Springer International Publishing
Schriftenreihe:The Minerals, Metals & Materials Series
Schlagworte:
Characteristic numbers
Fussy mathematics
General References
Metals & Metallurgy
Mineral Processing & Extractive Metallurgy
Mining Engineering & Extractive Metallurgy
Multi-objective fuzzy linear programming
Optimum burden
ISBN:9783319721378, 3319721372
ISSN:2367-1181, 2367-1696
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Zusammenfassung:In view of the traditional evaluation index of sintering basic characteristics ignoring process information, several high temperature characteristic numbers, which contain process information, were used to evaluate the sintering basic characteristics more comprehensively in this paper. The evaluation model of iron ore properties was established based on the high temperature characteristic numbers with employing fuzzy mathematics. Then, with the constraint of sinter properties and the raw materials, the ore blending model was built, whose target was to obtain the lowest cost and the best sinter properties. A multi-objective fuzzy linear programming was used to solve the model in order to get the best ore matching schemes. The ore blending model was then applied to the practical production, which was proved to be dependable.
ISBN:9783319721378
3319721372
ISSN:2367-1181
2367-1696
DOI:10.1007/978-3-319-72138-5_77