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Modeling the Dynamic Recrystallization: A Modified Cellular Automaton Method

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Proceedings of the 6th International Conference on Recrystallization and Grain Growth (ReX&GG 2016)

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Abstract

The paper presents a modified cellular automaton (CA) model for quantitative and topographic prediction of dynamic recrystallization (DRX) of Ni-based superalloy during hot deformation. To describe the effect of deformation on grain topology, an updated topology deformation technique was used in the model, in which a cellular coordinate system and a material coordinate system were established separately. The cellular coordinate system remains unchangeable in the whole simulation. The material coordinate system and the corresponding grain boundary shape change with deformation. The grain topography, recrystallization fraction and average grain size were also predicted. The simulated results agree well with the experimental data in terms of average grain size and flow stress, suggesting that the modified CA model is a reliable numerical approach for predicting grain evolution during dynamic recrystallization.

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Author information

Authors and Affiliations

  1. National Engineering Research Center for Die & Mold CAD, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai, 200030, China

    Fei Chen & Zhenshan Cui

  2. Department of Mechanical, Materials and Manufacturing Engineering, University of Nottingham, Nottingham, NG7 2RD, UK

    Fei Chen

Authors
  1. Fei Chen
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  2. Zhenshan Cui
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Editor information

Editors and Affiliations

  1. Carnegie Mellon University, USA

    Elizabeth A. Holm (Professor of Materials Science and Engineering), Gregory S. Rohrer Ph.D.  & Anthony D. Rollett (Professor of Materials Science and Engineering) (Professor of Materials Science and Engineering),  &  (Professor of Materials Science and Engineering)

  2. Research and Technology Center, U. S. Steel Corporation, USA

    Susan Farjami (Senior research engineer) (Senior research engineer)

  3. Robert Morris University, Pittsburgh, PA, USA

    Priyadarshan Manohar (Associate Professor of Engineering and Co-Director Research and Outreach Center (ROC) (Associate Professor of Engineering and Co-Director Research and Outreach Center (ROC)

  4. University of Pennsylvania, USA

    Gregory S. Rohrer Ph.D.  & David Srolovitz Ph.D. (Member of the National Academy of Engineering, Fellow of MRS, TMS, ASM, Institute of Physics) &  (Member of the National Academy of Engineering, Fellow of MRS, TMS, ASM, Institute of Physics)

  5. Rutgers University, USA

    David Srolovitz Ph.D. (Member of the National Academy of Engineering, Fellow of MRS, TMS, ASM, Institute of Physics) (Member of the National Academy of Engineering, Fellow of MRS, TMS, ASM, Institute of Physics)

  6. Alcoa Technical Center, Pittsburgh, PA, USA

    Hasso Weiland (Technical Fellow) (Technical Fellow)

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© 2016 TMS (The Minerals, Metals & Materials Society)

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Chen, F., Cui, Z. (2016). Modeling the Dynamic Recrystallization: A Modified Cellular Automaton Method. In: Holm, E.A., et al. Proceedings of the 6th International Conference on Recrystallization and Grain Growth (ReX&GG 2016). Springer, Cham. https://doi.org/10.1007/978-3-319-48770-0_9

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