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Mean field and full field modelling of microstructure evolution and phase transformations during hot forming and cooling of low carbon steels

Szeliga Danuta, Bzowski Krzysztof, Rauch Łukasz, Kuziak Roman, Pietrzyk Maciej

Computer Methods in Materials Science

2020

Vol. 20, No. 3

121--132

The paper describes a critical comparison of mean field and full field approaches to modelling hot deformation/controlled cooling sequences for steels. Classification of the models, based on the balance between predictive capabilities and computing costs, is presented. Mean field models, which describe microstructure evolution and phase transformations were connected with thermomechanical finite element program and applied to simulation of the hot strip rolling process and cooling of tubes after hot rolling. Full field model described in the paper is a connection of the finite element (FE) and level set (LSM) methods. These methods were used to simulate heating/cooling sequence in the continuous annealing line. A suggestion to use a stochastic model as a bridge between mean field and full field approaches is made.

Perceptive comparison of mean and full field dynamic recrystallization models

Madej Ł., Sitko M., Pietrzyk M.

Archives of Civil and Mechanical Engineering

2016

Vol. 16, no. 4

569--589

Review of dynamic recrystallization models is the subject of the present work. Development of both mean field and full field approaches during last three decades is presented and discussed. Conventional mean field models based on closed form equations as well as differential equations are presented first. Then full field models are elaborated focusing on the cellular automata approach as an example. Capabilities as well as limitations and drawbacks of these approaches are highlighted based on the set of case studies. Experimental data for validation of models were obtained from uniaxial compression tests at Gleeble 3800 thermo-mechanical simulator.