Premium
Mathematical Modeling and Optimization of Iron Ore Sinter Properties
Author(s) -
Donskoi Eugene,
Manuel James R.,
Clout John M. F.,
Zhang Yimin
Publication year - 2008
Publication title -
israel journal of chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.908
H-Index - 54
eISSN - 1869-5868
pISSN - 0021-2148
DOI - 10.1560/ijc.47.3-4.373
Subject(s) - iron ore , sintering , blast furnace , process engineering , metallurgy , materials science , engineering
The quality of iron ore sinter is a critical factor determining the productivity of blast furnaces for iron‐making. CSIRO has therefore been developing capabilities for predicting sinter characteristics, which enables sinter quality to be improved/optimized and preliminary assessments to be made of the suitability of specific ores or ore blends for sinter production. An extensive database of pilot‐scale sintering experimental results has been used to create mathematical models for predicting different sinter properties. In addition to size distribution and other physical and chemical characteristics usually used for sinter quality prediction, the mineralogical and textural characteristics of iron ores intended for sintering have also been taken into account. This approach has been quite successful, the variation of sinter reduction degradation index (RDI) that is accounted for by explanatory variables (R‐Sq) being 87%, for example. Optimization criteria have been developed that take into account several sinter characteristics simultaneously, and optimization of different iron ore blends to produce target sinter characteristics has been carried out. Modeling results and their preliminary validation are discussed.