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Comprehensive evaluation of sintering basic characteristics of iron ore based on grey relational analysis

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Abstract

Sintering basic characteristics of fourteen iron ores were comprehensively evaluated using micro-sinter and grey relational analysis methods. The results show that magnetite has a low assimilability, high bonding phase strength, and high crystal strength. Hematite presents a good assimilability, while limonite exhibits a strong assimilability, but the bonding phase strength and crystal strength of these two kinds of iron ores are comparatively low. Great difference in liquid flowability exists for the same kind of iron ores. When the assimilation temperature of the sinter mixture is too high, limonite can be added; when the bonding phase strength or crystal strength of the sinter mixture is too low, magnetite can be added. The liquid fluidity of the sinter mixture can be adjusted according to the ratios of corresponding iron ores. Grey relational analysis is an effective method to evaluate the comprehensive sintering characteristics of iron ores, which can provide theoretical basis for the purchasing department of the steel enterprises.

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References

  1. M. Zhou, T. Jiang, S.T. Yang, X.X. Xue, Int. J. Miner. Process. 142 (2015) 125–133.

    Article  Google Scholar 

  2. Y.H. Yu, G.S. Feng, D.X. Su, J. Iron Steel Res. Int. 15 (2008) No. 5, 9−12.

    Article  Google Scholar 

  3. X.B. Huang, X.W. Lv, J.J. Song, C.G. Bai, R.D. Zhang, M.J. Zhou, J. Min. Metall. Sect. B-Metall. 51 (2015) 33–40.

    Article  Google Scholar 

  4. G.L. Zhang, S.L. Wu, S.G. Chen, J. Zhu, J.X. Fan, B. Su, ISIJ Int. 53 (2013) 1515–1522.

    Article  Google Scholar 

  5. S.L. Wu, Y.M. Dai, O. Dauter, Y.D. Pei, J. Xu, H.L. Han, J. Univ. Sci. Technol. Beijing 32 (2010) 719–724.

    Google Scholar 

  6. E. Kasai, Y. Sakano, T. Kawaguchi, T. Nakamura, ISIJ Int. 40 (2000) 857–862.

    Article  Google Scholar 

  7. J. Zhang, X.M. Guo, X.J. Huang, J. Iron Steel Res. Int. 19 (2012) No. 10, 1–6.

    Article  Google Scholar 

  8. A. Dehghan-Manshadi, J. Manuel, S. Hapugoda, N. Ware, ISIJ Int. 54 (2014) 2189–2195.

    Article  Google Scholar 

  9. D. Debrincat, C.E. Loo, M.F. Hutchens, ISIJ Int. 44 (2004) 1308–1317.

    Article  Google Scholar 

  10. H.G. Li, J.L. Zhang, Y.D. Pei, Z.X. Zhao, Z.J. Ma, J. Iron Steel Res. Int. 18 (2011) No. 5, 11–15.

    Article  Google Scholar 

  11. S.L. Wu, Y. Liu, J.X. Du, K. Mi, H. Lin, J. Univ. Sci. Technol. Beijing 24 (2002) 254–257.

    Google Scholar 

  12. E. Kasai, F. Saito, ISIJ Int. 36 (1996) 1109–1111.

    Article  Google Scholar 

  13. S.L. Wu, G.L. Zhang, S.G. Chen, B. Su, ISIJ Int. 54 (2014) 582–588.

    Article  Google Scholar 

  14. J. Okazaki, K. Higuchi, Y. Hosotani, K. Shinagawa, ISIJ Int. 43 (2003) 1384–1392.

    Article  Google Scholar 

  15. S.L. Wu, G.L. Zhang, Steel Res. Int. 86 (2015) 1014–1021.

    Article  Google Scholar 

  16. D.H. Liu, J.L. Zhang, Z.J. Liu, K.J. Li, Y.Z. Wang, G.W. Wang, Metall. Res. Technol. 113 (2016) 301.

    Article  Google Scholar 

  17. M. Gan, X.H. Fan, Z.Y. Ji, X.L. Chen, L. Yin, T. Jiang, G.H. Li, Z.Y. Yu, ISIJ Int. 55 (2015) 742–750.

    Article  Google Scholar 

  18. D.G. Lv, L. Wang, P. Zhang, Journal of Harbin University of Technology 39 (2007) 841–844.

    Google Scholar 

  19. Y.P. Huang, Research on several key techniques of multi-sensor multi-target track correlation and data combination, Harbin Engineering University, Harbin, 2009.

    Google Scholar 

  20. D.H. Liu, J.L. Zhang, Z.J. Liu, Y.Z. Wang, X. Xue, J. Yan, JOM 68 (2016) 2418–2424.

    Article  Google Scholar 

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Liu, Dh., Li, Jh., Peng, Y. et al. Comprehensive evaluation of sintering basic characteristics of iron ore based on grey relational analysis. J. Iron Steel Res. Int. 26, 691–696 (2019). https://doi.org/10.1007/s42243-019-00259-1

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  • DOI: https://doi.org/10.1007/s42243-019-00259-1

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