Processes simulations with multiscale materials models using a dedicated interface

Grzegorz Smyk, Danuta Szeliga

AGH University of Science and Technology, Faculty of Metals Engineering and Industrial Computer Science, al. Mickiewicza 30, 30-059 Krakow, Poland.



The main goal of this work is the integration of in-house software with commercial numerical software based on the finite element method (FEM). The main idea is to develop a universal interface to perform process simulations with multiscale models. The interface allows the combination of external procedures with commercial software with minimum programmer’s work putting in integration. As an example, the model of material recrystallization of steel was implemented, added to the commercial application, and the software was tested for a process defined as a sequence of compression and cooling. The material model takes into consideration each type of recrystallization that occurs during a sequence of thermal and mechanical processing such as static recrystallization (SRX), dynamic recrystallization (DRX), and meta-dynamic recrystallization (MDRX). It allows the prediction of recrystallized volume fraction (X) and grain growth on each step of numerical simulation for each Gauss point in the computation domain. The presented multiscale model of process sequences not only allows to calculate microscale model parameters such as grain growth and recrystallized volume fraction, but also reflects the impact of the microscale model on macroscale parameters.

Cite as:

Smyk, G. & Szeliga, D. (2021). Processes simulations with multiscale materials models using a dedicated interface. Computer Methods in Materials Science, 21(4), 181–192.

Article (PDF):


Multiscale modelling, Material models, Models integration, Recrystallization


E, W. (2011). Principles of Multiscale Modeling. Cambridge University Press.

Hodgson, P.D. (1993). Models of recrystallization behavior of C-Mn and Nb microalloyed steel. Materials Forum, 17, 403–410.

Jonas, J.J. (1996). Dynamic recrystallization in strip mills – industrial fact or metallurgical fiction?. In B. Hutchinson, M. Andersson,

G. Engberg, B. Karlsson, & T. Siwecki (Eds.), Thermomechanical processing in theory, modelling & practice (TMP)2. Proceedings of an international conference organized in celebration of the 75th anniversary of the Swedish Society for Materials Technology, 4–6 September 1996, Stockholm, Sweden (pp. 24–34), Swedish Society for Materials Technology.

Madej, L., Sitko, M. & Pietrzyk, M. (2016). Perceptive comparison of mean and full field dynamic recrystallization models. Archives of Civil and Mechanical Engineering, 16(4), 569–589.

Saito, Y., Saeki, M., Nishida, M., Ito, Y., Tanaka, T., & Takizawa, S. (1980). Optimum Designing of Mechanical Properties of Hot-Rolled Steel Coils by Controlled Rolling and Cooling. In Proceedings of International Conference on Steel Rolling (pp. 1309–1320), Iron Steel Institute in Japan.

Sakai, T. (1995). Dynamic recrystallization microstructures under hot working conditions. Journal of Materials Processing Technology, 53(1–2), 349–361.

Sellars, C.M. (1985). Computer modelling of hot-working processes. Materials Science and Technology, 1(4), 352–32.

Sellars, C.M. (1990). Modelling microstructural development during hot rolling. Materials Science and Technology, 6(11), 1072–1081.

Senuma, T., & Yada, H. (1986). Microstructural evolution of plain carbon steels in multiple hot working. In. N. Hansen, D. Juul Jensen, T. Lefjers, B. Ralph (Eds.), Annealing Processes – Recovery, Recrystallization and Grain Growth. Proceedings of 7th Risø International Symposium on Metallurgy and Material Science, September 9–12, 1986 (pp. 547–552), Risø National Laboratory.

Sieradzki, L., & Madej, L. (2012). Modeling of the static recrystallization with cellular automata method and digital material representation approach. In J.

Kusiak, J. Majta, & D. Szeliga (Eds.), Metal Forming 2012. Proceedings of the 14th International Conference on Metal Forming. September 16–19, 2012, 1139–1142.

Steinhauser, O.M. (2008). Computational Multiscale Modelling of Fluids and Solids. Theory and Applications. Springer-Verlag Berlin Heidelberg.

Zahiri, S.H. & Hodgson, P.D. (2004). The static, dynamic and metadynamic recrystallisation of a medium carbon steel. Materials Science and Technology, 20(4), 458–464.