|About this Abstract
||2018 TMS Annual Meeting & Exhibition
||9th International Symposium on High Temperature Metallurgical Processing
||D-38: Optimizing Iron Ore Matching for Sintering Based on High Temperature Characteristic Numbers
||Yong Zhao, Keng Wu, Wenlong Zhan, Chunen Zhu, Xiaodong Du
|On-Site Speaker (Planned)
In view of the traditional evaluation index of sintering basic characteristics ignorimg process information,this paper uses high temperature characteristic numbers,which contains process information and can evaluate sintering basic characteristics more comprehensively. This paper establishs evaluation model of iron ore properties based on high temperature characteristic numbers,which uses fuzzy mathematics.Then,with the constraint of sinter properties and the raw material’s supply,a sintering proportioning optimization model that uses the evalutes model is built,whose target is to obtain the lowest cost and the best sinter properties.A multi-objective fuzzy linear programming is used to sovel the model in order to get the best ore matching scheme.The sintering proportioning optimization model applied to the practical production,which is proved to the feasibility of the model.