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Laminar Cooling Process Model Development Using RBF Networks

  • Minghao Tan
  • Xuejun Zong
  • Heng Yue
  • Jinxiang Pian
  • Tianyou Chai
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3973)

Abstract

Due to the complex nature (e.g., highly nonlinear, time varying, and spatially varying) of the laminar cooling process, accurate mathematical modeling of the process is difficult. This paper developed a hybrid model of the laminar cooling process by integrating Radial Basis Function (RBF) networks into the first principles dynamical model. The heat transfer coefficients of water cooling in the dynamical model were found by RBF networks. The developed model is capable of predicting the through-thickness temperature evolutions of the moving strip during the laminar cooling process. Experimental studies using real data from a hot strip mill show the superiority of the proposed model.

Keywords

Heat Transfer Coefficient Radial Basis Function Radial Basis Function Network Industrial Case Study Coiling Temperature 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Minghao Tan
    • 1
  • Xuejun Zong
    • 2
  • Heng Yue
    • 3
  • Jinxiang Pian
    • 3
  • Tianyou Chai
    • 3
  1. 1.School of Information Science and EngineeringShenyang University of TechnologyShenyangChina
  2. 2.College of Information EngineeringShenyang Institute of Chemical TechnologyShenyangChina
  3. 3.Research Center of AutomationNortheastern UniversityShenyangChina

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