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

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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.

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Authors and Affiliations

  1. School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing, 100083, China

    Sheng-li Wu, Dauter Oliveira & Jian Xu

  2. VALE Shanghai Office, Shanghai, 200070, China

    Dauter Oliveira & Yu-ming Dai

Authors
  1. Sheng-li Wu
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  2. Dauter Oliveira
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  3. Yu-ming Dai
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  4. Jian Xu
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Correspondence to Sheng-li Wu.

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Wu, Sl., Oliveira, D., Dai, Ym. et al. Ore-blending optimization model for sintering process based on characteristics of iron ores. Int J Miner Metall Mater 19, 217–224 (2012). https://doi.org/10.1007/s12613-012-0541-2

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  • DOI: https://doi.org/10.1007/s12613-012-0541-2

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