Lu Lin and Jia-qing Zeng, Consideration of green intelligent steel processes and narrow window stability control technology on steel quality, Int. J. Miner. Metall. Mater., 28(2021), No. 8, pp. 1264-1273. https://doi.org/10.1007/s12613-020-2246-2
Cite this article as:
Lu Lin and Jia-qing Zeng, Consideration of green intelligent steel processes and narrow window stability control technology on steel quality, Int. J. Miner. Metall. Mater., 28(2021), No. 8, pp. 1264-1273. https://doi.org/10.1007/s12613-020-2246-2
Invited Review

Consideration of green intelligent steel processes and narrow window stability control technology on steel quality

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  • Corresponding author:

    Lu Lin    E-mail: linlu_luke@sina.com

  • Received: 19 October 2020Revised: 23 December 2020Accepted: 29 December 2020Available online: 1 January 2021
  • In order to promote the intelligent transformation and upgrading of the steel industry, intelligent technology features based on the current situation and challenges of the steel industry are discussed in this paper. Based on both domestic and global research, functional analysis, reasonable positioning, and process optimization of each aspect of steel making are expounded. The current state of molten steel quality and implementation under narrow window control is analyzed. A method for maintaining stability in the narrow window control technology of steel quality is proposed, controlled by factors including composition, temperature, time, cleanliness, and consumption (raw material). Important guidance is provided for the future development of a green and intelligent steel manufacturing process.
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  • [1]
    R.Y. Yin, A discussion on “smart” steel plant―View from physical system side, Iron Steel, 52(2017), No. 6, p. 1. doi: 10.13228/j.boyuan.issn0449-749x.20170107
    [2]
    J. Zhou, Intelligent manufacturing-main direction of “Made in China 2025”, Chin. Mech. Eng., 26(2015), No. 17, p. 2273.
    [3]
    R.Y. Yin, “Flow”, flow network and dissipative structure―Understanding of the physical system of manufacturing process of process manufacturing type, Sci. Sin. Technol., 48(2018), No. 2, p. 136. doi: 10.1360/N092017-00368
    [4]
    Y.G. Sun, Development road map of digital. network and intelligent manufacturing technology of iron and steel industry, China Steel Focus, 2015, No. 9, p. 4.
    [5]
    Q.S. Yuan, R.Y. Yin, X.H. Cao, and, P.C. Liu, Strategic research on the goals characteristics and paths of intelligentization of process manufacturing industry for 2035, Strategic Study CAE, 22(2020), No. 3, p. 148. doi: 10.15302/J-SSCAE-2020.03.022
    [6]
    R.Y. Yin, Process engineering and manufacturing process, Iron Steel, 49(2014), No. 7, p. 15. doi: 10.13228/j.boyuan.issn0449-749x.2014.07.011
    [7]
    C.C. Qi, Big data management in the mining industry, Int. J. Miner. Metall. Mater., 27(2020), No. 2, p. 131. doi: 10.1007/s12613-019-1937-z
    [8]
    Y.G. Sun, H.Y. Xu, Y.J. Zeng, and W.B. Li, Energy flow information model based dynamic multi-type energy scheduling in steel works, [in] Baosteel BAC, Shanghai, 2013, p. 266.
    [9]
    R. Zhu, X.T. Wu, G.S. Wei, and B.H. Tian, Development of green and intelligent technologies in electric arc furnace steelmaking process, Iron Steel, 54(2019), No. 8, p. 9. doi: 10.13228/j.boyuan.issn0449-749x.20190188
    [10]
    J.H. Liu and H. Dong, Thoughts on continuous optimization of special steel production process, Chin. Metall., 28(2018), No. 9, p. 1. doi: 10.13228/j.boyuan.issn1006-9356.20170363
    [11]
    L.B. Yang, J.Q. Zeng, Y. Deng, X.W. Xu, and L.P. Wu, Highly efficiency and long-life combined blowing technology of big converter, Iron Steel, 55(2020), No. 4, p. 45. doi: 10.13228/j.boyuan.issn0449-749x.20190308
    [12]
    R.Y. Yin, Integrated Technology of the platform for clean steel production-an important direction of the technology progress in steelmaking, Iron Steel, 44(2009), No. 7, p. 1. doi: 10.13228/j.boyuan.issn0449-749x.2009.07.010
    [13]
    R.Y. Yin, Integration technology of high efficiency and low cost clean steel “prodoction platform” and its dynamic operation, Iron Steel, 47(2012), No. 1, p. 1. doi: 10.13228/j.boyuan.issn0449-749x.2012.01.001
    [14]
    X.L. Pan, Z. Li, Y.H. Wang, and H.Z. Liang, Advanced technology of clean steel production at home and abroad, Steelmaking, 23(2007), No. 1, p. 59.
    [15]
    X.C. Li, C.T. Shi, and F. Zhao, Industry 4.0 meets with China iron and steel industry, Iron Steel, 50(2015), No. 11, p. 1. doi: 10.13228/j.boyuan.issn0449-749x.20150297
    [16]
    C.H. Guo, Iron and steel industry and industry 4.0, Metall. Ind. Autom., 39(2015), No. 4, p. 7. doi: 10.3969/j.issn.1000-7059.2015.04.002
    [17]
    W.Z. Liu, Thinking on the intelligent manufacturing of steel industry in China, Metall. Ind. Autom., 42(2018), No. 4, p. 1. doi: 10.3969/j.issn.1000-7059.2018.04.001
    [18]
    W.Z. Liu, Current situation and thinking of intelligent manufacturing in China’s iron and steel industry, Chin. Metall., 30(2020), No. 6, p. 1.
    [19]
    Y. Yu, Information architecture design of hesteel tangsteel industry for intelligent manufacturing, Iron Steel, 52(2017), No. 1, p. 1. doi: 10.13228/j.boyuan.issn0449-749x.20160463
    [20]
    H.F. Hu, Development and outlook of intelligent manufacturing technology in steel industry, Baosteel Meishan, 2014, No. 6, p. 1.
    [21]
    K. Ohara, M. Tsugeno, Y. Sakiyama, K. Kitaqoh, J. Yanaqimoto, and H Imanari, Process optimization for the manufacturing of sheets with estimated balance between product quality and energy consumption, CIRP Ann.-Manuf. Technol., 63(2014), No. 1, p. 257. doi: 10.1016/j.cirp.2014.03.006
    [22]
    E. Toshihiko, Optimizing steelmaking system for quality steel mass production for sustainable future of steel industry, Steel Res. Int., 85(2014), No. 8, p. 1274. doi: 10.1002/srin.201300278
    [23]
    H.N. Zhang and S.Q. LI, Consideration about intelligent manufacturing of HBIS Shijiazhuang Iron and Steel Co., Chin. Metall., 26(2016), No. 6, p. 1. doi: 10.13228/j.boyuan.issn1006-9356.20160014
    [24]
    R.Y. Yin, Metallurgical Process Engineering, 2nd ed., Metallurgical Industry Press, Beijing, 2009.
    [25]
    R.Y. Yin, Theory and Method of Metallurgical Process Integration, Metallurgical Industry Press, Beijing, 2013.
    [26]
    R.Y. Yin, Theory and Methods of Metallurgical Process Integration, Metallurgical Industry Press, Beijing, 2016.
    [27]
    R.Y. Yin, Comment on behavior of energy flow and construction of energy flow network for steel manufacturing process, Iron Steel, 45(2010), No. 4, p. 1.
    [28]
    S. Kawasaki, H. Hirahashi, M. Aoki, K. Hajika, and Y. Hunaoka, Improvement of the refining process around combined blowing converter in kobe works, Tetsu-to-Hagané, 76(1990), No. 11, p. 1900. doi: 10.2355/tetsutohagane1955.76.11_1900
    [29]
    O. Yamase, M. Ikeda, J. Fukumi, C. Taki, K. Yamada, and K. Iwasaki , Industrialization of a new steelmaking process utilizing hot metal pretreatment and smelting reduction, Tetsu-to-Hagané, 74(1988), No. 2, p. 270. doi: 10.2355/tetsutohagane1955.74.2_270
    [30]
    E. Toshihiko, Steelmaking technology for the last 100 years: toward highly efficient mass production systems for high quality steels, ISIJ Int., 55(2015), No. 1, p. 36. doi: 10.2355/isijinternational.55.36
    [31]
    J.H. Liu, H. Cui, and Y.P. Bao, Key technologies for high grade pipeline refining, J. Univ. Sci. Technol. Beijing, 31(2009), No. S1, p. 1. doi: 10.13374/j.issn1001-053x.2009.s1.041
    [32]
    Y. Fan, S.L. Li, X.C. Miao, G. Wang, and X.G. Ai, Application status and prospect of narrow window control and big data in direct rolling, Chin. Metall., 28(2018), No. 9, p. 8. doi: 10.13228/j.boyuan.issn1006-9356.20170365
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