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Artificial neural network modeling of microstructure during C-Mn and HSLA plate rolling

  • Wen Tan
  • Zhen-yu Liu
  • Di Wu
  • Guo-dong Wang
Article

Abstract

An artificial neural network (ANN) model for predicting transformed microstructure in conventional rolling process and thermomechanical controlled process (TMCP) is proposed. The model uses austenite grain size and retained strain, which can be calculated by using microstructure evolution models, together with a measured cooling rate and chemical compositions as inputs and the ferrite grain size and ferrite fraction as outputs. The predicted results show that the model can predict the transformed microstructure which is in good agreement with the measured one, and it is better than the empirical equations. Also, the effect of the alloying elements on transformed products has been analyzed by using the model. The tendency is the same as that in the reported articles. The model can be used further for the optimization of processing parameters, microstructure and properties in TMCP.

Key words

artificial neural network TMCP microstructure ferrite grain size 

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References

  1. 1.
    Tadeusz Siweck. Modeling of Microstructure Evolution During Recrystallization Controlled Rolling [J]. ISIJ International, 1992, 32(3): 368.CrossRefGoogle Scholar
  2. 2.
    Kuziak R, Cheng Y W, Glowacki M, et al. Modeling of the Microstructure and Mechanical Properties of Steels During Thermo-Mechanical Processing [R]. Boulder: NIST Technical Note 1393, 1997.Google Scholar
  3. 3.
    Dyja H, Korczak P. The Thermal-Mechanical and Microstructural Model for the FEM Simulation of Hot Plate Rolling [J]. Journal of Materials Processing Technology, 1999, 92(93): 463.CrossRefGoogle Scholar
  4. 4.
    Korczak P, Dyja H. Investigation of Microstructure Prediction During Experimental Thermo-Mechanical Plate Rolling [J]. Journal of Materials Processing Technology, 2001, 109(1–2): 112.CrossRefGoogle Scholar
  5. 5.
    Fulvio Siciliano, John J Jonas. Mathematical Modeling of the Hot Strip Rolling of Microalloyed Nb Multiply-Alloyed Cr-Mo and Plain C-Mn Steels [J]. Metallurgical and Materials Transactions, 2000, 31A(2): 511.Google Scholar
  6. 6.
    Anelli Ettore. Application of Mathematical Modeling to Hot Rolling and Controlled Cooling of Wire Rods and Bars [J]. ISIJ International, 1992, 32(3): 440.CrossRefGoogle Scholar
  7. 7.
    Hodgson P D, Gibbs R K. A Mathematical Model to Predict the Mechanical Properties of Hot Rolled C-Mn and Microalloyed Steels [J]. ISIJ, 1992, 32(12): 1329.CrossRefGoogle Scholar
  8. 8.
    Jan Kusiak, Roman Kuziak. Modelling of Microstructure and Mechanical Properties of Steel Using the Artificial Neural Net-. work [J]. Journal of Materials Processing Technology, 2002, 127(1): 115.CrossRefGoogle Scholar
  9. 9.
    LIU Zhen-yu, XU Yun-bo, WANG Guo-dong. Simulation and Prediction of the Evolution of Microstructure and Properties of Hot Rolled Steels [M]. Shenyang: NEU Press, 2004 (in Chinese).Google Scholar
  10. 10.
    Imao Tamura, Hiroshi Sekine. Thermomechanical Processing of High-Strength Low-Alloy Steels [M]. London: Butterworth Scientific Ltd, 1988.Google Scholar

Copyright information

© China Iron and Steel Research Institute Group 2009

Authors and Affiliations

  1. 1.The State Key Laboratory of Rolling and AutomationNortheastern UniversityShenyang, LiaoningChina

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