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Modeling and Simulation of Shape Control Based on Digital Twin Technology in Hot Strip Rolling

Sensors, ISSN: 1424-8220, Vol: 24, Issue: 2
2024
  • 0
    Citations
  • 0
    Usage
  • 7
    Captures
  • 2
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Captures
    7
  • Mentions
    2
    • Blog Mentions
      1
      • Blog
        1
    • News Mentions
      1
      • 1

Most Recent News

Research in the Area of Sensor Research Reported from University of Science and Technology Beijing (Modeling and Simulation of Shape Control Based on Digital Twin Technology in Hot Strip Rolling)

2024 FEB 05 (NewsRx) -- By a News Reporter-Staff News Editor at Tech Daily News -- New study results on sensor research have been published.

Article Description

Focusing on the problem of strip shape quality control in the finishing process of hot rolling, a shape model based on metal flow and stress release with the application of varying contact rolling parameters is introduced. Combined with digital twin technology, the digital twin framework of the shape model is proposed, which realizes the deep integration between physical time–space and virtual time–space. With the utilization of the historical data, the parameters are optimized iteratively to complete the digital twin of the shape model. According to the schedule, the raw material information is taken as the input to obtain the simulation of the strip shape, which shows a variety of export shape conditions. The prediction absolute error of the crown and flatness are less than 5 μm and 5 I-unit, respectively. The results prove that the proposed shape simulation model with strong prediction performance can be effectively applied to hot rolling production. In addition, the proposed model provides operators with a reference for the parameter settings for actual production and promotes the intelligent application of a shape control strategy.

Bibliographic Details

Sun, Youzhao; Li, Jingdong; Sun, Yamin; Song, Lebao; Yang, Quan; Wang, Xiaochen

MDPI AG

Chemistry; Computer Science; Physics and Astronomy; Biochemistry, Genetics and Molecular Biology; Engineering

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