Ore-blending optimization model for sintering process based on characteristics of iron ores

• Published in: International journal of minerals, metallurgy and materials metallurgy and materials, 2012-03, Vol.19 (3), p.217-224
• Main Authors: Wu, Sheng-li, Oliveira, Dauter, Dai, Yu-ming, Xu, Jian
• Format: Article
• Language: English
• Subjects: Access; Basic; Blending; Ceramics; Characterization and Evaluation of Materials; Chemical composition; Chemistry and Materials Science; Composites; Computing time; Corrosion and Coatings; Glass; Granulation; High temperature; Iron; Iron ores; Material balance; Materials Science; Mathematical models; Metallic Materials; Metallurgy; Natural Materials; Optimization; Optimization models; Simplex method; Sintering; Steel industry; Surfaces and Interfaces; Thin Films; Tribology; Visual programming languages; 优化模型; 智能系统; 混合比例; 烧结工艺; 烧结过程; 铁矿石
• ISSN: 1674-4799; 1869-103X
• DOI: 10.1007/s12613-012-0541-2

An ore-blending optimization model for the sintering process is an intelligent system that includes iron ore characteristics, expert knowledge and material balance. In the present work, 14 indices are proposed to represent chemical composition, granulating properties and high temperature properties of iron ores. After the relationships between iron ore characteristics and sintering performance are established, the ＂two-step＂ method and the simplex method are introduced to build the model by distinguishing the calculation of optimized blending proportion of iron ores from that of other sintering materials in order to improve calculation efficiency. The ore-blending optimization model, programmed by Access and Visual Basic, is applied to practical production in steel mills and the results prove that the present model can take advantage of the available iron ore resource with stable sinter yield and quality performance but at a lower cost.