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Asian Symposium on Cellular Automata Technology

ASCAT 2022: Proceedings of First Asian Symposium on Cellular Automata Technology pp 153–166Cite as

Cellular-Automata Based Simulation of Dynamic Recrystallization and Statistical Analysis of Resulting Grain Growth

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1425))

Abstract

By employing cellular automata technique, in this work, a polycrystalline system corroborating experimentally observed microstructure is developed. Moreover, through appropriate transition functions, microstructural changes accompanying dynamic recrystallization, a manufacturing technique associated with the production of wide-range of components, is simulated. The grain growth that characterises this change is analysed to explicate the trend in the temporal evolution of mean grain size and its kinetics. As opposed to a progressive increase in mean grain size, which generally typifies a conventional grain growth, in dynamic recrystallization, it is observed that the mean grain size increases and decreases sequentially, thereby rendering a oscillating pattern. A perceptive investigation of the fluctuating trend unravels individual growth events, characterised by monotonic increase in mean grain size, whose kinetics follow the third-order power law.

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References

  1. Wagoner, R.H., Chenot, J.-L.: Metal Forming Analysis. Cambridge University Press (2001)

    Google Scholar 

  2. Altan, T., Tekkaya, A.E.: Sheet metal forming: fundamentals. ASM Int. (2012)

    Google Scholar 

  3. Hu, J., Marciniak, Z., Duncan, J.: Mechanics of Sheet Metal Forming. Elsevier (2002)

    Google Scholar 

  4. Priester, L.: Grain boundaries: From Theory to Engineering. Springer Science & Business Media, p. 172 (2012)

    Google Scholar 

  5. Lin, J., Balint, D., Pietrzyk, M.: Microstructure Evolution in Metal Forming Processes. Elsevier (2012)

    Google Scholar 

  6. Humphreys, F.J., Hatherly, M.: Recrystallization and Related Annealing Phenomena. Elsevier (2012)

    Google Scholar 

  7. Doherty, R.D., Hughes, D.A., Humphreys, F.J., Jonas, J.J., Jensen, D.J., Kassner, M.E., King, W.E., McNelley, T.R., McQueen, H.J., Rollett, A.D.: Current issues in recrystallization: a review. Mater. Sci. Eng. A 238, 219–274 (1997)

    Google Scholar 

  8. Huang, K., Logé, R.E.: A review of dynamic recrystallization phenomena in metallic materials. Mater. Design 111(5), 548–574 (2016)

    Google Scholar 

  9. Liss, Kl.-D., Garbe, U., Li, H., Schambron, T., Almer, J.D., Yan, K.: In situ observation of dynamic recrystallization in the bulk of zirconium alloy. Adv. Eng. Mater. 11,637–640 (2009)

    Google Scholar 

  10. Gourdet, S and Montheillet, F: A model of continuous dynamic recrystallization. Acta Materialia 51, 2685–2699 (2003)

    Article  Google Scholar 

  11. Momeni, A., Dehghani, K., Ebrahimi, G.R.: Modeling the initiation of dynamic recrystallization using a dynamic recovery model. Journal of Alloys and compounds 509, 9387–9393 (2011)

    Article  Google Scholar 

  12. Takaki, T., Yoshimoto, C., Yamanaka, A., Tomita, Y.: Multiscale modeling of hot-working with dynamic recrystallization by coupling microstructure evolution and macroscopic mechanical behavior. International Journal of Plasticity 52, 105–116 (2014)

    Article  Google Scholar 

  13. Goetz, R.L., Seetharaman, V.: Modeling dynamic recrystallization using cellular automata. Scripta Materialia 38 (1998)

    Google Scholar 

  14. Sitko, M., Madej, Ł: Development of dynamic recrystallization model based on Cellular Automata approach. Key Engineering Materials 622, 617–624 (2014)

    Article  Google Scholar 

  15. Wolfram, S.: Cellular automata. Los Alamos. Science 9, 42 (1983)

    MATH  Google Scholar 

  16. Kroc, J.: Application of cellular automata simulations to modelling of dynamic recrystallization. Int. Conf. Comput. Sci., 773–782 (2002)

    Google Scholar 

  17. Kroc, J., Paidar, V.: Modelling of recrystallization and grain boundary migration by cellular automata. Materials Science Forum 426, 3873–3878 (2003)

    Article  Google Scholar 

  18. Kroc, J.: Simulation of dynamic recrystallization by cellular automata. Univerzita Karlova Praha, Praha (2000)

    MATH  Google Scholar 

  19. Ralph, B.: Grain growth. Materials Science and Technology 6, 1136–1144 (1990)

    Article  Google Scholar 

  20. Hillert, M.: On the theory of normal and abnormal grain growth. Acta metallurgica 13, 227–238 (1965)

    Article  Google Scholar 

  21. Perumal, R., Amos, P.G.K., Selzer, M., Nestler, B.: Phase-field study on the formation of first-neighbour topological clusters during the isotropic grain growth. Comput. Mater. Sci. 140, 209–223 (2017)

    Google Scholar 

  22. Amos, P.G.K., Perumal, R., Selzer, M., Nestler, B.: Multiphase-field modelling of concurrent grain growth and coarsening in complex multicomponent systems. J. Mater. Sci. Technol. 45, 215–229 (2020)

    Google Scholar 

  23. Amos, P.G., Perumal, R., Koeppe, A., Nestler, B.: Data-driven analysis of grain-growth kinetics in duplex and triplex systems. arXiv preprint arXiv:2108.02236 (2021)

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Author information

Authors and Affiliations

  1. Theoretical Metallurgy Group, Department of Metallurgical and Materials Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, India

    R. S. Subramanian, Ramadev Sai Shree & P. G. Kubendran Amos

Authors
  1. R. S. Subramanian
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  2. Ramadev Sai Shree
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  3. P. G. Kubendran Amos
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Corresponding author

Correspondence to P. G. Kubendran Amos .

Editor information

Editors and Affiliations

  1. Department of Information Technology, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, West Bengal, India

    Sukanta Das

  2. National Polytechnic Institute, Mexico City, Mexico

    Genaro J. Martinez

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Subramanian, R.S., Shree, R.S., Amos, P.G.K. (2022). Cellular-Automata Based Simulation of Dynamic Recrystallization and Statistical Analysis of Resulting Grain Growth. In: Das, S., Martinez, G.J. (eds) Proceedings of First Asian Symposium on Cellular Automata Technology. ASCAT 2022. Advances in Intelligent Systems and Computing, vol 1425. Springer, Singapore. https://doi.org/10.1007/978-981-19-0542-1_12

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