Skip to main content
Log in

Extracting the core indicators of pulverized coal for blast furnace injection based on principal component analysis

  • Published:
International Journal of Minerals, Metallurgy, and Materials Aims and scope Submit manuscript

Abstract

An updated approach to refining the core indicators of pulverized coal used for blast furnace injection based on principal component analysis is proposed in view of the disadvantages of the existing performance indicator system of pulverized coal used in blast furnaces. This presented method takes into account all the performance indicators of pulverized coal injection, including calorific value, igniting point, combustibility, reactivity, flowability, grindability, etc. Four core indicators of pulverized coal injection are selected and studied by using principal component analysis, namely, comprehensive combustibility, comprehensive reactivity, comprehensive flowability, and comprehensive grindability. The newly established core index system is not only beneficial to narrowing down current evaluation indices but also effective to avoid previous overlapping problems among indicators by mutually independent index design. Furthermore, a comprehensive property indicator is introduced on the basis of the four core indicators, and the injection properties of pulverized coal can be overall evaluated.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. C.X. Zhang, Y.H. Qi, D.L. Yan, C.Q. Hu, and X.X. Zhang, Energy-saving and environmental protection of ironmaking system in China, Iron Steel, 41(2006), No. 11, p. 1.

    Google Scholar 

  2. Z.D. Cheng, M.Y. Yan, and Y.Z. Sha, Optimization of pulverized coal injection technology for blast furnace, J. Iron Steel Res., 14(2002), No. 2, p. 55.

    Google Scholar 

  3. Y.H. Dang and S.M. Zhang, Discussion on low fuel rate and high PCI rate of blast furnace operation, Iron Steel, 40(2005), No. 2, p. 15.

    CAS  Google Scholar 

  4. W.D. Zhang, C.L. Qi, J.L. Zhang, and C. Ma, Correlation between the powder flow ability and coal quality of pulverized coal for a blast furnace, J. Univ. Sci. Technol. Beijing, 34(2012), No. 4, p. 430.

    CAS  Google Scholar 

  5. S.B. Li, Practice of production of coals blending in Tiantie, Ironmaking, 30(2011), No. 4, p. 48.

    Google Scholar 

  6. W.Q. Wei, S.P. Yang, and Z.H. Zhang, Research on increasing pulverized coal injection into blast furnace, Foundry Technol., 32(2011), No. 8, p. 1152.

    Google Scholar 

  7. K. Wu, B.X. Yu, J.M. Zhu, T. Zheng, and X. Zhou, Industrial trial of PCI with lean coal on BF at Baosteel, Iron Steel, 41(2006), No.7, p.21.

    CAS  Google Scholar 

  8. C. Ma, J.L. Zhang, C.L. Qi, J. Yin, X.J. He, and W.J. Lu, Coal selection in 2500 m3 blast furnace of Xiangsteel, Chin. J. Process Eng., 12(2012), No. 1, p. 81.

    CAS  Google Scholar 

  9. C.L. Qi, J.L. Zhang, X.J. He, K.H. Yan, W.W. Liu, and H. Zhang, Characteristics of Qingxu coal applied in the 4350 m3 blast furnace of Taigang, J.4350 m 3 blast furnace of Taigang, J. Univ. Sci. Technol. Beijing, 33(2011), No. 1, p. 80.

    CAS  Google Scholar 

  10. E. Osório, M. de Lourdes Ilha Gomes, A.C.F. Vilela, W. Kalkreuth, M.A.A. de Almeida, A.G. Borrego, and D. Alvarez, Evaluation of petrology and reactivity of coal blends for use in pulverized coal injection (PCI), Int. J. Coal Geol., 68(2006), No. 1–2 Spec. Iss., p. 14.

    Article  Google Scholar 

  11. Khairil, D. Kamihashira, K. Nakayama, and I. Naruse, Fundamental reaction characteristics of pulverized coal at high temperature, ISIJ Int., 41(2001), No. 2, p. 136.

    Article  CAS  Google Scholar 

  12. M. Kirby and L. Sirovich, Application of the Karhunen-Loeve procedure for the characterization of human faces, IEEE Trans. Pattern Anal. Mach. Intell., 12(1990), No. 1, p. 103.

    Article  Google Scholar 

  13. M. Turk and A. Pentland, Eigenfaces for Recognition, J. Cognitive Neurosci., 3(1991), No. 1, p. 71.

    Article  Google Scholar 

  14. B.S. Liu, X.Q. Wang, B. Li, and R.H. Hu, Systematic evaluation of the competitive advantage of Chinese regional construction industry based on principal component and DEA-DA, China Civ. Eng. J., 44(2011), No. 2, p. 143.

    Article  Google Scholar 

  15. L.Z. Jin, J. Duan, S.N. Ou, and L.Q. Jia, Research on the linear relationship between combustibility of pulverized coal and proximate analysis and ignition temperature, J. Saf. Sci. Technol., 8(2012), No. 4, p. 40.

    CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hong-wei Guo.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Guo, Hw., Su, Bx., Zhang, Jl. et al. Extracting the core indicators of pulverized coal for blast furnace injection based on principal component analysis. Int J Miner Metall Mater 20, 246–252 (2013). https://doi.org/10.1007/s12613-013-0719-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12613-013-0719-2

Keywords

Navigation