Application of Cellular Automata Simulations to Modelling of Dynamic Recrystallization

Kroc, Jiří

doi:10.1007/3-540-46043-8_78

Cited by 28 publications

(12 citation statements)

References 12 publications

(32 reference statements)

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“…These rules can only rely on the state of one cell and its neighborhood at the previous evolution step. Starting with Hesselbarth and Göbel [31] many groups have developed models for recrystallization utilizing the CA method [32][33][34][35][36][37][38][39][40].…”

Section: Cellular Automatamentioning

confidence: 99%

A new unified approach for modeling hot rolling of steel Part 1: Comparison of models for recrystallization

Orend,

Hagemann,

Klose

et al. 2014

Preprint

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Models for the microstructure evolution during hot rolling are reviewed. The basic macroscopic phenomena related to recrystallization are summarized. Constitutive models based on semi empirical equations are compared to more sophisticated models based on cellular automata, vertex and Monte-Carlo-Potts methods. The applicability of each kind of model approach for online and offline process control in steel industry is discussed. While constitutive models are still state-of-the-art for online process control, mesoscale models with a spatial representation of the microstructure can provide better predictive capabilities at the cost of long computation times. To fill this gap a new approach based on modeling the interaction of an ensemble of multiple grains is outlined and first simulation results are presented. The proposed approach allows the unified modeling of dynamic, static and metadynamic recrystallization as well as grain growth.

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Section: Cellular Automatamentioning

confidence: 99%

A new unified approach for modeling hot rolling of steel Part 1: Comparison of models for recrystallization

Orend,

Hagemann,

Klose

et al. 2014

Preprint

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“…Several DRX models based on a full field approach exist in the literature. In the last decades, [33] has already proposed a 2D model of DRX based on the cellular automata method for interfaces tracking and phenomenological laws to describe hardening and nucleation mechanisms. More recently in [30], a 2D model considering a FE based LS approach is proposed to model DRX.…”

Section: Introductionmentioning

confidence: 99%

Modeling of dynamic and post-dynamic recrystallization by coupling a full field approach to phenomenological laws

et al. 2017

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International audienceThis paper describes a level set framework for the full field modeling of dynamic and post-dynamic recrystallization in a 3D polycrystalline material with an accurate description of grains topology at large deformation and application to 304L austenitic stainless steel. Topological evolutions are simulated based on a kinetic law linking the velocity of the boundaries to the thermodynamic driving forces. Recrystallization is modeled by coupling a level set approach to phenomenological laws describing strain hardening mechanism and nucleation criteria. Although the proposed formalism does not consider crystal plasticity because of its computational costs, it enables to reach outstanding dynamic recrystallization computations in a front-capturing finite element framework comparatively to the state of art

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“…Recently, this approach has been identified as a powerful tool to describe diffusion‐controlled transformation processes . The cellular automata method was used to successfully simulate the dendrite growth in metallic melts by Brown and Bruce and Zhu and Hong , recrystallization by Kroc , phase transitions in steel by Kundu et al , solidification grain structures and segregation in metallic alloys by a coupled finite element‐cellular automaton model by Guillemot , recrystallization by Raabe , internal oxidation by Zhou and Wei and Buschmann .…”

Section: Introductionmentioning

confidence: 99%

Prediction of high temperature corrosion phenomena by the cellular automata approach

Jahns

Balinski

Landwehr

et al. 2016

Materials & Corrosion

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Aim of the study is to develop a simulation software for the prediction of internal corrosion during high temperature applications. Besides a significant mass transport by diffusion, chemical reactions, and phase transformations are occurring at elevated temperatures. Eventually, corrosion results in a severe deterioration of the properties of a material. During the last 6 decades, great effort has been put into quantitative identification of the relevant mechanisms of high temperature corrosion in metallic alloys. Recently, the cellular automata approach was identified to be a powerful tool to describe diffusioncontrolled transformation processes. Up to now, the model is able to predict diffusion-controlled nucleation and growth, internal precipitation kinetics and the transition from internal precipitation to external scale formation, distinguishing between bulk and grain boundary diffusion. Within this study, the cellular automata approach was used to describe TiN formation in Ni-20Cr-2Ti, MnO formation in a Mn-steel containing 3.7 wt% Mn and intergranular Al 2 O 3 formation in Inconel 625Si. It is shown that experimental and simulated results are in good agreement.

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Application of Cellular Automata Simulations to Modelling of Dynamic Recrystallization

Cited by 28 publications

References 12 publications

A new unified approach for modeling hot rolling of steel Part 1: Comparison of models for recrystallization

A new unified approach for modeling hot rolling of steel Part 1: Comparison of models for recrystallization

Modeling of dynamic and post-dynamic recrystallization by coupling a full field approach to phenomenological laws

Prediction of high temperature corrosion phenomena by the cellular automata approach

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