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Cellular automaton model to simulate nucleation and growth of ferrite grains for low-carbon steels

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Abstract

A two-dimensional cellular automaton model was developed for the simulation of nucleation and growth of ferrite grains at various cooling rates in low-carbon steels. The model calculates the diffusion of the solute and temperature fields in an explicit finite method and incorporates local temperature and concentration changes into a nucleation or growth function, which is utilized by the automaton in a probabilistic fashion. The modeling provides an efficient way to understand how those physical processes dynamically progress and affect nucleation and growth of ferrite grains.

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Authors and Affiliations

  1. College of Science, Northeastern University, Shenyang, 110006, People’s Republic of China

    L. Zhang & C. C. Zhang

  2. Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, Shenyang, 110016, People’s Republic of China

    L. Zhang & Y. Y. Wang

  3. The State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang, 110006, People’s Republic of China

    C. C. Zhang, X. X. Liu & G. G. Wang

Authors
  1. L. Zhang
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  2. C. C. Zhang
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  3. Y. Y. Wang
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  4. X. X. Liu
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  5. G. G. Wang
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Zhang, L., Zhang, C.C., Wang, Y.Y. et al. Cellular automaton model to simulate nucleation and growth of ferrite grains for low-carbon steels. Journal of Materials Research 17, 2251–2259 (2002). https://doi.org/10.1557/JMR.2002.0331

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  • DOI: https://doi.org/10.1557/JMR.2002.0331

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