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Metallurgical and Materials Transactions B
Erschienen in: Metallurgical and Materials Transactions B 1/2022

29.11.2021 | Brief Communication

Prediction of Calcium Yield During Calcium Treatment Process Performed in Steelmaking Using Neural Network

verfasst von: Weijian Wang, Lifeng Zhang, Ying Ren, Yan Luo, Xiaohui Sun, Wen Yang

Erschienen in: Metallurgical and Materials Transactions B | Ausgabe 1/2022

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Abstract

The artificial neural network was applied to predict the calcium yield during calcium treatment process. Three types of neural network models were established, and the optimal model was selected. Effects of contents and temperature of the molten steel on the calcium yield were calculated using the optimal model. The currently developed model can be used to improve the calcium yield and the stability of calcium content during the calcium treatment process.
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Literatur
1.
W. Yang, L. Zhang, X. Wang, Y. Ren, X. Liu, and Q. Shan: ISIJ Int., 2013, vol. 53, pp. 1401–10.
2.
G. Yang, X. Wang, F. Huang, D. Yang, P. Wei, and X. Hao: Metall. Trans. B., 2014, vol. 46B, pp. 145–54.
3.
Y.I. Ito, M. Suda, Y. Kato, H. Nakato, and K.I. Sorimachi: ISIJ Int., 1996, vol. 36, pp. S148–50.
4.
S. Abdelaziz, G. Megahed, I. El-Mahallawi, and H. Ahmed: Ironmaking Steelmaking., 2013, vol. 36, pp. 432–41.
5.
F. Yuan, X. Wang, and X. Yang: J. Univ. Sci. Technol. Beijing., 2006, vol. 13, pp. 486–9.
6.
L. Zhang, Y. Liu, Y. Zhang, W. Yang, and W. Chen: Metall. Trans. B., 2018, vol. 49B, pp. 1841–59.
7.
H. Wang, J. Li, C. Shi, and W. Yu: Chin. J. Eng., 2018, vol. 40, pp. 11–8.
8.
X. Cai, Y. Bao, and L. Lin: Chin. J. Eng., 2018, vol. 38, pp. 32–6.
9.
S. Abraham, R. Bodnar, J. Raines, and Y. Wang: J. Iron Steel Res. Int., 2018, vol. 25, pp. 133–45.
10.
X.D. Wu, D.X. Zhang, and R.L. Chen: Adv. Mater. Res., 2014, vol. 936, pp. 1323–8.
11.
W. Li, X. Zhu, J. Yao, X. Jin, and X. Ding: ISIJ Int., 2017, vol. 57, pp. 170–5.
12.
W.V. Bielefeldt and A.C.F. Vilela: Steel Res. Int., 2010, vol. 81, pp. 1064–9.
13.
S.K. Choudhary and A. Ghosh: ISIJ Int., 2008, vol. 48, pp. 1552–9.
14.
W.V. Bielefeldt and A.C.F. Vilela: Steel Res. Int., 2015, vol. 86, pp. 375–85.
15.
G.J.W. Kor: Steelmaking Conference Proceedings, USA, 1989, pp. 39–44.
16.
J. Moon, S. Kim, and C. Lee: Met. Mater. Int., 2013, vol. 19, pp. 45–8.
17.
C. Pan, X. Hu, J. Zheng, P. Lin, and K. Chou: Int. J. Miner. Metall. Mater., 2020, vol. 27, pp. 1499–507.
18.
W. Shi, S. Yang, and J. Li: Int. J. Miner. Metall. Mater., 2021, vol. 28, pp. 390–8.
19.
C. Gu, Y. Bao, P. Gan, M. Wang, and J. He: Int. J. Miner. Metall. Mater., 2018, vol. 25, pp. 623–9.
20.
X. Zhao, Z. Yang, and F. Zhang: Int. J. Miner. Metall. Mater., 2020, vol. 27, pp. 620–9.
21.
C. Zhu, L. Huang, X. Luo, Y. Liu, Y. Wang, and G. Li: J. Iron Steel Res., 2020, vol. 32, pp. 117–28.
22.
R. Wang, Y. Bao, Y. Li, Z. Yan, D. Li, and Y. Kang: Int. J. Miner. Metall. Mater., 2019, vol. 26, pp. 440–6.
23.
X. Bai, Y. Sun, R. Chen, Y. Zhang, and Y. Cai: Int. J. Miner. Metall. Mater., 2019, vol. 26, pp. 573–87.
24.
Y. Meng, H. Zhao, Y. Teng, W. Kong, and Y. Zheng: J. Iron Steel Res., 2019, vol. 31, pp. 538–46.
25.
Y. Liu, L. Zhang, Y. Zhang, H. Duan, Y. Ren, and W. Yang: Metall. Trans. B., 2018, vol. 49B, pp. 610–26.
26.
M. Li, Y. Liu, and L. Zhang: Metall. Res. Technol., 2019, vol. 116, pp. 206–14.
27.
Y. Liu, Y. Zhang, L. Zhang, Y. Ren, P. Shen, and Y. Luo: Steel Res. Int., 2018, vol. 89, p. 1700277.
28.
Y. Liu and L. Zhang: Metall. Trans. B., 2018, vol. 49B, pp. 1624–31.
29.
L. Zhang and B.G. Thomas: ISIJ Int., 2003, vol. 43, pp. 271–91.
30.
Y. Ren, L. Zhang, and S. Li: ISIJ Int., 2014, vol. 54, pp. 2772–9.
31.
R. Heinke and K. Takahama: Steel Res., 1987, vol. 58, pp. 162–6.
32.
S. Basak, R. Kumar Dhal, and G.G. Roy: Ironmaking Steelmaking., 2010, vol. 37, pp. 161–8.
33.
Z. Wang, Z. Li, R. Yang, and J. Yang: Steelmaking., 2013, vol. 29, pp. 67–70.
34.
B. Kumar, S. Mishra, M.B.V. Rao, and G.G. Roy: Ironmaking Steelmaking., 2019, vol. 46, pp. 454–62.
35.
S.C.S. Sanyal, S. Kumar, and G.G. Roy: ISIJ Int., 2004, vol. 44, pp. 1157–66.
36.
M. Kohler, H. Engell, and D. Janke: Steel Res., 1985, vol. 56, pp. 419–23.
37.
B. Song and Q. Han: Metall. Trans. B., 1998, vol. 29B, pp. 415–20.
38.
P. Ni, H. Goto, M. Nakamoto, and T. Tanaka: ISIJ Int., 2020, vol. 60, pp. 1586–95.
39.
M. Hanao, M. Kawamoto, T. Tanaka, and M. Nakamoto: ISIJ Int., 2006, vol. 46, pp. 346–51.
40.
M. Nakamoto, M. Hanao, T. Tanaka, M. Kawamoto, L. Holappa, and M. Haemaelaeinen: ISIJ Int., 2007, vol. 47, pp. 1075–81.
41.
H. Nyman, T. Talonen, A. Roine, M. Hupa, and J. Corander: Metall. Trans. B., 2012, vol. 43B, pp. 1113–8.
42.
Y. Haraguchi, M. Nakamoto, M. Suzuki, K. Fuji-ta, and T. Tanaka: ISIJ Int., 2018, vol. 58, pp. 1007–12.
43.
W. Zhang, F. Wang, and N. Li: ISIJ Int., 2021, vol. 61, pp. 1915–26.
44.
M. Kovačič and U. Župerl: Genet. Program. Evol. Mach., 2020, vol. 21, pp. 99–128.
45.
F. He and L. Zhang: J. Process Control., 2018, vol. 66, pp. 51–8.
46.
B. Derin, E. Alan, M. Suzuki, and T. Tanaka: ISIJ Int., 2016, vol. 56, pp. 183–8.
47.
B. Derin, M. Suzuki, and T. Tanaka: ISIJ Int., 2010, vol. 50, pp. 1059–63.
48.
49.
G. Zhao, W. Bing, J. Zhang, C. Ma, and L. Yin: Shandong Metall., 2012, vol. 34, pp. 20–1.
50.
X. Mei, T. Wen, Y. Zhang, Z. Mao and S. Zang: Angang Technology, 2013, pp. 55–58.
51.
S. Ji, Z. Lifeng, L. Yan, W. Wang, X. Wang, and J. Zhang: Chin. J. Eng., 2021, vol. 43, pp. 825–34.
52.
J. Schmidhuber: Neural Netw., 2015, vol. 61, pp. 85–117.
53.
S. Feng, H. Zhou, and H. Dong: Mater. Des., 2019, vol. 162, pp. 300–10.
Metadaten
Titel
Prediction of Calcium Yield During Calcium Treatment Process Performed in Steelmaking Using Neural Network
verfasst von
Weijian Wang
Lifeng Zhang
Ying Ren
Yan Luo
Xiaohui Sun
Wen Yang
Publikationsdatum
29.11.2021
Verlag
Springer US
Erschienen in
Metallurgical and Materials Transactions B / Ausgabe 1/2022
Print ISSN: 1073-5615
Elektronische ISSN: 1543-1916
DOI
https://doi.org/10.1007/s11663-021-02363-8

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