Influence of metallurgical processing parameters on defects in cold-rolled steel sheet caused by inclusions

Rui Wang; Yan-ping Bao; Yi-hong Li; Zhi-jie Yan; Da-zhao Li; Yan Kang

doi:10.1007/s12613-019-1751-7

Volume 26 Issue 4

Apr. 2019

Turn off MathJax

Article Contents

Article Navigation > International Journal of Minerals, Metallurgy and Materials > 2019 > 26(4): 440-446

Rui Wang, Yan-ping Bao, Yi-hong Li, Zhi-jie Yan, Da-zhao Li, and Yan Kang, Influence of metallurgical processing parameters on defects in cold-rolled steel sheet caused by inclusions, Int. J. Miner. Metall. Mater., 26(2019), No. 4, pp. 440-446. https://doi.org/10.1007/s12613-019-1751-7

Cite this article as:

Rui Wang, Yan-ping Bao, Yi-hong Li, Zhi-jie Yan, Da-zhao Li, and Yan Kang, Influence of metallurgical processing parameters on defects in cold-rolled steel sheet caused by inclusions, Int. J. Miner. Metall. Mater., 26(2019), No. 4, pp. 440-446. https://doi.org/10.1007/s12613-019-1751-7

Citation:

PDF( 611 KB)

Research Article

Influence of metallurgical processing parameters on defects in cold-rolled steel sheet caused by inclusions

+ Author Affiliations

Corresponding author:
Rui Wang E-mail: wangrui@nuc.edu.cn
Received: 16 June 2018; Revised: 16 July 2018; Accepted: 29 August 2018

Abstract

Abstract

The cleanliness and defects for cold-rolled steel sheet caused by inclusions are greatly influenced by parameters in the metallurgical processing. Good control of parameters during the processing can lead to a better product. In this paper, data mining was used to explore the influence of parameters on defects in steel sheets. A decision tree model was established and it was found that the oxygen content before deoxidation, the end-point temperature of the converter, and the temperature before deoxidation had a great impact on the defects in the cold-rolled sheet that were caused by inclusions. This finding was confirmed by experiments with infrared absorption, scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDS), and automatic inclusion analysis methods. After optimization according to results from the model and experiments, the defect rate caused by the inclusions was reduced from 0.92% to 0.38%.
- IF steel;
- steel cleanliness;
- data mining;
- inclusions

FullText(HTML)

Supplements(0)

References(15)

References

[1]	J.L. Guo, Y.P. Bao, and M. Wang, Cleanliness of Ti-bearing al-killed ultra-low-carbon steel during different heating processes, Int. J. Miner. Metall. Mater., 24(2017), No. 12, p. 1370.
[2]	X.X. Deng, L.P. Li, X.H. Wang, Y.Q. Ji, C.X. Ji, and G.S. Zhu, Subsurface macro-inclusions and solidified hook character in aluminum-killed deep-drawing steel slabs, Int. J. Miner. Metall. Mater., 21(2014), No. 6, p. 531.
[3]	H.X. Yu, C.X. Ji, B. Chen, C. Wang, and Y.H. Zhang, Characteristics and evolution of inclusion induced surface defects of cold rolled if sheet, J. Iron Steel Res. Int., 221(2015), p. 17.
[4]	H. Cui, H.J. Wu, F. Yue, W.S. Wu, M. Wang, Y.P. Bao, B. Chen, and C.X. Ji, Surface defects of cold-rolled Ti-IF steel sheets due to non-metallic inclusions, J. Iron Steel Res. Int., 182(2011), Supple. 2, p. 335.
[5]	O. León-García, R. Petrov, and L.A.I. Kestens, Void initiation at TiN precipitates in IF steels during tensile deformation, Mater. Sci. Eng. A, 527(2010), No. 16-17, p. 4202.
[6]	H.L. Yu, X.H. Liu, H.Y. Bi, and L.Q. Chen, Deformation behavior of inclusions in stainless steel strips during multi-pass cold rolling, J. Mater. Process. Technol., 209(2009), No. 1, p. 455.
[7]	X. Li, Y.P. Bao, and M. Wang, Genetic evolution of inclusions in interstitial-free steel during the cold rolling processes, Trans. Indian Inst. Met., 71(2018), No. 5, p. 1067.
[8]	R. Wang, Y.P Bao, Y.H. Li, T.Q. Li, and D. Chen, Effect of slag composition on steel cleanliness in interstitial-free steel, J. Iron Steel Res. Int., 24(2017), No. 6, p. 579.
[9]	Y. Chen, J.H. Zeng, and G.R. Wu, Control for surface faint-sliver defects in cold-rolled IF steel sheet, Adv. Mater. Res., 396-398(2011), p. 1145.
[10]	J.S. Meng, M.F. Jiang, and Y.X. Zhu, Practice for reducing surface inclusions of IF steel for cold rolled strip, Iron Steel, 40(2005), No. 12, p. 28.
[11]	B. Deo, A. Karamchetty, A. Paul, P. Singh, and R.P. Chhabra, Characterization of slag-metal droplet-gas emulsion in oxygen steelmaking converters, ISIJ Int., 36(1996), No. 6, p. 658.
[12]	G.H. Li, B. Wang, Q. Liu, X.Z. Tian, R. Zhu, L.N. Hu, and G.G. Cheng, A process model for BOF process based on bath mixing degree, Int. J. Miner. Metall. Mater., 17(2010), No. 6, p. 715.
[13]	P.H. Li, Y.P. Bao, F. Yue, and J. Huang, BOF end-point control of ultra low carbon steel, Iron Steel, 46(2011), No. 10, p. 27.
[14]	R. Colas-Marquez and M. Mahfouf, Data mining and modelling of charpy impact energy for alloy steels using fuzzy rough sets, IFAC-PapersOnLine, 50(2017), No. 1, p. 14970.
[15]	A. Verma and J. Maiti, Text-document clustering-based cause and effect analysis methodology for steel plant incident data, Int. J. Inj. Control Saf. Promot., 25(2018), No. 4, p. 416.