Numerical investigation of the static recrystallization inhomogeneities across the plate thickness during continuous annealing

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Numerical investigation of the static recrystallization inhomogeneities across the plate thickness during continuous annealing

Mateusz Sitko1, Łukasz Madej1, Konrad Perzyński1, Norbert Kwiaton2, Roman Kuziak3, Krzysztof Radwański3

1AGH University of Science and Technology, 30 Mickiewicza Ave. 30-059 Kraków, Poland.
2Salzgitter Mannesmann Forschung GmbH, Eisenhüttenstraße 99, 38239 Salzgitter, Germany.
3Institute for Ferrous Metallurgy, 12-14 Karola Miarki St., 44-100 Gliwice, Poland.

DOI:

https://doi.org/10.7494/cmms.2015.3.0542

Abstract:

Analysis of static recrystallization inhomogeneities along the thickness of the cold rolled ferritic-pearlitic steel during continuous annealing process is the main goal of the present paper. The multiscale concurrent Cellular Automata Final Element (CAFE) model is used during the numerical investigation. The general concept of the CA algorithm of static recrystallization phenomenon is evaluated. The multiscale model of cold rolling based on the digital material representation (DMR) concept is used to accurately predict deformation energy distribution along the microstructure features and provide input data for the CA model. The final material morphology and recrystallization volume fractions after recrystallization in different plate locations: near the surface, in the middle of a plate, respectively, are evaluated. Finally, examples of obtained results of recrystallized microstructures are compared with the experimental data, to validate the approach.

Cite as:

Sitko, M., Madej, Ł., Perzyński, K., Kwiaton, N., Kuziak, R., & Radwański, K. (2015). Numerical investigation of the static recrystallization inhomogeneities across the plate thickness during continuous annealing. Computer Methods in Materials Science, 15(3), 371-379. https://doi.org/10.7494/cmms.2015.3.0542

Article (PDF):

Keywords:

Cellular automata, Static recrystallization, Cold rolling

Publication dates:

Received: 13.05.2015, accepted: 14.10.2015, published:

Publication type:

Original scientific paper

References:

Bayram, A., Uguz, A., Ula, M., 1999, Effects of microstructure and notches on the mechanical properties of dual-phase steels, Materials Characterization, 43, 259-269.

Fei, C. , Ke, Q. , Zhenshan, C. , Xinmin, L., 2014, Modeling the dynamic recrystallization in austenitic stainless steel using cellular automaton method, Computational Materials Science, 83, 331-340.

Gorecki, G., Madej, L., Pietrzyk, M., 2014, Computer system for the design of optimal thermal cycles in the continuous annealing of DP steels, Journal of Machine Engineering, 1, 74-83.

Halder, C., Madej, L., Pietrzyk, M., 2014, Discrete micro-scale cellular automata model for modelling phase transfor- mation during heating of dual phase steels, Archives of Civil and Mechanical Engineering, 14, 96-103.

Humphreys, F.J., Hatherly, M., 1995, Recrystallization and Related Annealing Phenomena, Elsevier.

Kapoor, R., Paul, B., Raveendra, S., Samajdar, I., Chakravartty, J.K., 2009, Metallurgical and Materials Transactions A, 40A, 818.

Madej, L., Rauch, L., Perzyński, K., Cybułka, P., 2011, Digital Material Representation as an efficient tool for strain inhomogeneities analysis at the micro scale level, Archives of Civil and Mechanical Engineering, 11, 661-679.

Madej, L., Sieradzki, L., Sitko, M., Perzyński, K., Radwański, K., Kuziak, R., 2013, Multi scale cellular automata and finite element based model for cold deformation and annealing of a ferritic-pearlitic microstructure, Computational Materials Science, 77, 172-181

Madej, L., Szyndler, J., 2013, Effect of number of grains and boundary conditions on digital material representation deformation under plane strain, Archives of Civil and Mechanical Engineering, 14, 360-369.

Popova, E., Staraselski, Y., Brahme, A., Mishra, R.K., Inal, K., 2015, Coupled crystal plasticity – Probabilistic cellular automata approach to model dynamic recrystallization in magnesium alloys, International Journal of Plasticity, 66, 85-102.

Raabe, D., Hantcherli, L., 2005, 2D cellular automaton simulation of the recrystallization texture of an IF sheet steel under consideration of Zener pinning, Computational Materials Science, 34, 299-313.

Radwański, K., 2015, Application of FEG-SEM and EBSD methods for the analysis of the restoration processes occurring during continuous annealing of Dual-Phase steel strips, Steel Research International, DOI: 10.1002/srin.201400361. Seyed Salehi, M., Serajzadeh, S., 2012, Simulation of static recrystallization in non-isothermal annealing using a coupled cellular automata and finite element model, Computational Materials Science, 53, 145-152.

Sieradzki, L., Madej, L., 2012, Modeling of the static recrystallization with cellular automata method and digital material representation approach, Metal Forming 2012: proceedings of the 14th international conference on Metal Forming: Steel Research International; spec. ed., 1139- 1142.

Sieradzki, L., Madej, L., 2013, A perceptive comparison of the cellular automata and Monte Carlo techniques in application to static recrystallization modeling in polycrystalline materials, Computational Materials Science, 67, 156-173. –

Sitko, M., Madej, L., 2014, Development of dynamic recrystallization model based on Cellular Automata approach, Key Engineering Materials, 622-623, 617-624.

Ying, Z., Xianghua, L., Hailiang, Y., 2014, Cellular automaton simulation of hot deformation of TRIP steel, Computational Materials Science, 81, 104-112.