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Volume 26 Issue 4
Apr.  2019
数据统计

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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
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研究论文

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

  • 通讯作者:

    Rui Wang    E-mail: wangrui@nuc.edu.cn

  • 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%.
  • Research Article

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

    + Author Affiliations
    • 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%.
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