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

  • Rui WangEmail author
  • Yan-ping Bao
  • Yi-hong Li
  • Zhi-jie Yan
  • Da-zhao Li
  • Yan Kang
Article
  • 8 Downloads

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%.

Keywords

IF steel steel cleanliness data mining inclusions 

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Notes

Acknowledgement

This work was financially supported by the National Natural Science Foundation of China (No. 51704203).

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Copyright information

© University of Science and Technology Beijing and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Rui Wang
    • 1
    Email author
  • Yan-ping Bao
    • 2
  • Yi-hong Li
    • 3
  • Zhi-jie Yan
    • 1
  • Da-zhao Li
    • 1
  • Yan Kang
    • 1
  1. 1.School of Materials Science and EngineeringNorth University of ChinaTaiyuanChina
  2. 2.State Key Laboratory of Advanced MetallurgyUniversity of Science and Technology BeijingBeijingChina
  3. 3.School of Materials Science and EngineeringTaiyuan University of Science and TechnologyTaiyuanChina

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