• DocumentCode
    499124
  • Title

    Notice of Retraction
    Establishment of dynamic chain model and node intelligent agent in cold roll forming process

  • Author

    De-Bin Zhang ; Guo-Chang Li ; Xiao-Ying Gu ; Yan-Li Zhang

  • Author_Institution
    Coll. of Mech. Eng., Yanshan Univ., Qinhuangdao, China
  • Volume
    5
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    2538
  • Lastpage
    2542
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    After the improvement of the actual theory of cold roll forming and the practical rolling process, author present the concept of dynamic chain model and node model, research steel strip forming mechanism based on information system. The problems such as the forming process research, the effects of friction on the forming, analysis of stress and strain were studied in the new model. What is more important is the introduction of Intelligent Agent technology, it can intelligently handle problem.
  • Keywords
    cold rolling; friction; steel; stress-strain relations; cold roll forming process; dynamic chain model; friction; intelligent agent technology; node intelligent agent; steel strip forming; stress-strain analysis; Cybernetics; Deformable models; Educational institutions; Elasticity; Information science; Intelligent agent; Machine learning; Steel; Stress; Strips; Cold roll forming; Information system; Intelligent agent; Node model; Stress and strain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Hebei
  • Print_ISBN
    978-1-4244-3702-3
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212660
  • Filename
    5212660