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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Wagoner, R.H., Chenot, J.-L.: Metal Forming Analysis. Cambridge University Press (2001)
Altan, T., Tekkaya, A.E.: Sheet metal forming: fundamentals. ASM Int. (2012)
Hu, J., Marciniak, Z., Duncan, J.: Mechanics of Sheet Metal Forming. Elsevier (2002)
Priester, L.: Grain boundaries: From Theory to Engineering. Springer Science & Business Media, p. 172 (2012)
Lin, J., Balint, D., Pietrzyk, M.: Microstructure Evolution in Metal Forming Processes. Elsevier (2012)
Humphreys, F.J., Hatherly, M.: Recrystallization and Related Annealing Phenomena. Elsevier (2012)
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)
Huang, K., Logé, R.E.: A review of dynamic recrystallization phenomena in metallic materials. Mater. Design 111(5), 548–574 (2016)
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)
Gourdet, S and Montheillet, F: A model of continuous dynamic recrystallization. Acta Materialia 51, 2685–2699 (2003)
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)
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)
Goetz, R.L., Seetharaman, V.: Modeling dynamic recrystallization using cellular automata. Scripta Materialia 38 (1998)
Sitko, M., Madej, Ł: Development of dynamic recrystallization model based on Cellular Automata approach. Key Engineering Materials 622, 617–624 (2014)
Wolfram, S.: Cellular automata. Los Alamos. Science 9, 42 (1983)
Kroc, J.: Application of cellular automata simulations to modelling of dynamic recrystallization. Int. Conf. Comput. Sci., 773–782 (2002)
Kroc, J., Paidar, V.: Modelling of recrystallization and grain boundary migration by cellular automata. Materials Science Forum 426, 3873–3878 (2003)
Kroc, J.: Simulation of dynamic recrystallization by cellular automata. Univerzita Karlova Praha, Praha (2000)
Ralph, B.: Grain growth. Materials Science and Technology 6, 1136–1144 (1990)
Hillert, M.: On the theory of normal and abnormal grain growth. Acta metallurgica 13, 227–238 (1965)
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)
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)
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)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-981-19-0542-1_12
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-0541-4
Online ISBN: 978-981-19-0542-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)