Ore-blending optimization model for sintering process based on characteristics of iron ores |
| |
| Authors: | Sheng-li Wu Dauter Oliveira Yu-ming Dai Jian Xu |
| |
| Affiliation: | 1.School of Metallurgical and Ecological Engineering,University of Science and Technology Beijing,Beijing,China;2.VALE Shanghai Office,Shanghai,China |
| |
| Abstract: | 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. |
| |
| Keywords: | |
| 本文献已被 万方数据 SpringerLink 等数据库收录！ |
|
