High-temperature performance prediction of iron ore fines and the ore-blending programming problem in sintering
Source abstract
Abstract
The high-temperature performance of iron ore fines is an important factor in optimizing ore blending in sintering. However, the application of linear regression analysis and the linear combination method in most other studies always leads to a large deviation from the desired results. In this study, the fuzzy membership functions of the assimilation ability temperature and the liquid fluidity were proposed based on the fuzzy mathematics theory to construct a model for predicting the high-temperature performance of mixed iron ore. Comparisons of the prediction model and experimental results were presented. The results illustrate that the prediction model is more accurate and effective than previously developed models. In addition, fuzzy constraints for the high-temperature performance of iron ore in this research make the results of ore blending more comparable. A solution for the quantitative calculation as well as the programming of fuzzy constraints is also introduced.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Iron and Steelmaking Processes · Mineral Processing and Grinding · Mining Techniques and Economics
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References (25)
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1. G.S. Feng, S.L. Wu, H.L. Han, L.W. Ma, W.Z. Jiang, and X.Q. Liu, Sintering characteristics of fluxes and their structure optimization, Int. J. Miner. Metall. Mater., 18(2011), No. 3, p. 270.10.1007/s12613-011-0433-x ↗
2. M. Sinha and R.V. Ramna, Effect of variation of alumina on the microhardness of iron ore sinter phases, ISIJ Int., 49(2009), No. 5, p. 719.10.2355/isijinternational.49.719 ↗
3. S.L. Wu, Y. Liu, J.X. Du, K. Mi, and H. Lin, New concept of iron ores sintering basic characteristics, J. Univ. Sci. Technol. Beijing, 24(2002), No. 3, p. 254.
4. B.X. Su, J.L. Zhang, J. Chang, G.W. Wang, C.L. Wang, and X.M. Che, Sintering characteristics of iron ores and experiment study on optimizing ore-blending, Iron Steel, 46(2011), No. 9, p. 22.
5. S.L. Wu, J.X. Du, H.B. Ma, Y.Q. Tian, and H.F. Xu, Fluidity of liquid phase in iron ores during sintering, J. Univ. Sci. Technol. Beijing, 27(2005), No. 3, p. 291.
6. S.L. Wu, J.X. Du, H.B. Ma, Z.C. Zhang, and H. Chen, Self-intensity of binding phase in iron ores during sintering, J. Univ. Sci. Technol. Beijing, 27(2005), No. 2, p. 169.
7. A. Cores, A. Babich, M. Muñiz, S. Ferreira, and J. Mochon, The influence of different iron ores mixtures composition on the quality of sinter, ISIJ Int., 50(2010), No. 8, p. 1089.10.2355/isijinternational.50.1089 ↗
8. D. Debrincat, C.E. Loo, and M.F. Hutchens, Effect of iron ore particle assimilation on sinter structure, ISIJ Int., 44(2004), No. 8, p. 1308.10.2355/isijinternational.44.1308 ↗
9. T. Otomo, N. Taguchi, and E. Kasai, Suppression of the formation of large pores in the assimilated parts of sinter produced using pisolitic ores, ISIJ Int., 36(1996), No. 11, p. 1338.10.2355/isijinternational.36.1338 ↗
10. S.L. Wu, Y. Liu, J.X. Du, K. Mi, and H. Lin, Experiment study of assimilation ability between iron ores and CaO, J. Univ. Sci. Technol. Beijing, 24(2002), No. 3, p. 258.
11. H.G. Li, J.L. Zhang, Y.D. Pei, Z.X. Zhao, and Z.J. Ma, Melting characteristics of iron ore fine during sintering process, J. Iron Steel Res. Int., 18(2011), No. 5, p. 11.10.1016/S1006-706X(11)60057-5 ↗
12. S.L. Wu, Y.D. Pei, H. Chen, P. Peng, and F. Yang, Evaluation on liquid phase fluidity of iron ore in sintering, J. Univ. Sci. Technol. Beijing, 30(2008), No. 10, p. 1095.
13. E. Kasai, Y. Sakano, T. Kawaguchi, and T. Nakamura, Influence of properties of fluxing materials on the flow of melt formed in the sintering process, ISIJ Int., 40(2000), No. 9, p. 857.10.2355/isijinternational.40.857 ↗
14. E. Kasai, S.L. Wu, and Y. Omori, Factors governing the strength of agglomerated granules after sintering, ISIJ Int., 31(1991), No. 1, p. 17.10.2355/isijinternational.31.17 ↗
15. L.J. Yan, S.L. Wu, Y. You, Y.D. Pei, and L.H. Zhang, Assimilation of iron ores and ore matching method based on complementary assimilation, J. Univ. Sci. Technol. Beijing, 32(2010), No. 3, p. 298.
16. S.L. Wu, Q.F. Wang, M.L. Bian, J. Zhu, and F.Y. Long, Influence of iron ore characteristics on FeO formation during sintering, J. Iron Steel Res. Int., 18(2011), No. 5, p. 5.10.1016/S1006-706X(11)60056-3 ↗
17. S.L. Wu, J.X. Du, J. Wang, J.D. Sun, and H.B. Ma, The basic experimental study on assimilability and fluidity of sinter mixed ores, [in] 2004 National Conference of Ironmaking Production Technique and Ironmaking Annual Conference, Wuxi, 2004, p. 165.
18. D. Oliveira, S.L. Wu, Y.M. Dai, J. Xu, and H. Chen, Sintering properties and optimal blending schemes of iron ores, J. Iron Steel Res. Int., 19(2012), No. 6, p. 1.10.1016/S1006-706X(12)60117-4 ↗
19. X.H. Fan, Y. Li, and X.L. Chen, Prediction of iron ore sintering characters on the basis of regression analysis and artificial neural network, Energy Prcedia, 16(2012), p. 769.10.1016/j.egypro.2012.01.124 ↗
20. S.L. Wu, D. Oliveira, Y.M. Dai, and J. Xu, Ore-blending optimization model for sintering process based on characteristics of iron ores, Int. J. Miner. Metall. Mater., 19(2012), No. 3, p. 217.10.1007/s12613-012-0541-2 ↗
21. X.W. Lü, C.G. Bai, G.B. Qiu, Q. Ouyang, and Y.M. Huang, Research on sintering burdening optimization based on genetic algorithm, Iron Steel, 42(2007), No. 4, p. 12.
22. Z.X. Zhu and B.Y. Cao, Fuzzy linear programming problems with fuzzy variables, Fuzzy Syst Math, 22(2008), No. 1, p. 115.
23. C. Stanciulescu, Ph. Fortemps, M. Installé, and V. Wertz, Multiobjective fuzzy linear programming problems with fuzzy decision variables, Eur. J. Oper. Res., 149(2003), No. 3, p. 654.10.1016/S0377-2217(02)00449-6 ↗
24. D. Yong, Z. F. Zhu, and Q. Liu, Ranking fuzzy numbers with an area method using radius of gyration, Comput. Math. Appl., 51(2006), p. 1127.10.1016/j.camwa.2004.11.022 ↗
25. J. Chang, B.X. Su, J.L. Zhang, W.C. Cao, H.W. Guo, and S. Ren, Application of simulated annealing algorithm in sintering burdening optimization, [in] 2011 International Conference on Chemical, Material and Metallurgical Engineering (ICCMME 2011), Beihai, 2011, p. 116.