• DocumentCode
    3133523
  • Title

    Mechanical property control system for cold rolled steel sheet through locally weighted regression model

  • Author

    Shigemori, Hiroyasu

  • Author_Institution
    Steel Res. Lab., JFE Steel Corp., Fukuyama, Japan
  • fYear
    2013
  • fDate
    23-26 June 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A new control method is proposed for controlling mechanical property in cold-rolled steel sheet production process. The proposed method is based on a locally weighted regression model, which is a type of Just-In-Time models. The mechanical property control system using the proposed method was developed and has been applied to actual plants. The proposed method determines the optimal heat treatment temperature from the information of the pre-processes which has actual process data. Significant effects on reducing mechanical property deviations and model maintenance load have been achieved in commercial production. The developed system has made contributions to improving yield and production rate.
  • Keywords
    cold rolling; heat treatment; just-in-time; mechanical variables control; optimal control; regression analysis; sheet metal processing; steel; steel industry; temperature control; cold rolled steel sheet; cold-rolled steel sheet production process; commercial production; just-in-time model; locally weighted regression model; mechanical property control system; mechanical property deviation reduction; model maintenance load; optimal heat treatment temperature; preprocess information; production rate improvement; yield improvement; Data models; Databases; Manufacturing; Mathematical model; Mechanical factors; Predictive models; Steel; just-in-time modeling; locally weighted regression; mechanical Property Control; nonlinear model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ASCC), 2013 9th Asian
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4673-5767-8
  • Type

    conf

  • DOI
    10.1109/ASCC.2013.6606043
  • Filename
    6606043