A new topological approach for the mean field modeling of dynamic recrystallization

Maire, Ludovic; Fausty, Julien; Bernacki, Marc; Bozzolo, Nathalie; Micheli, Pascal de; Moussa, Charbel

doi:10.1016/j.matdes.2018.03.011

Cited by 25 publications

(16 citation statements)

References 33 publications

(64 reference statements)

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“…A full field approach using the LS method in a FE context has been used to simulate the microstructural evolution during thermal treatments. Modeling at the mesoscopic scale can be a help for understanding complex microstructural phenomena but it can also be used to optimize/ calibrate higher scale models (like mean field models [16,20]). These simulations allow describing in a natural way the materials in terms of microstructural features.…”

Section: Resultsmentioning

confidence: 99%

Prediction of the grain size evolution during thermal treatments at the mesoscopic scale: a numerical framework and industrial examples

Settefrati

Micheli

Maire

et al. 2018

Matériaux & Techniques

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Recently, an original full field model working at the mesoscopic scale using the level set (LS) method in a finite element (FE) framework has been introduced. This approach has demonstrated its potential for the simulation of grain growth and recrystallization problems. Through the development of the DIGIMU® software, this methodology is now considered for industrial applications. The paper presents (i) the recent developments made on the LS approach and (ii) some examples of large scale simulations in two and three dimensions considering thermal treatments applied on materials. Grain boundaries motion considering the presence or not of second phase particles (like precipitates) are investigated.

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Section: Resultsmentioning

confidence: 99%

Prediction of the grain size evolution during thermal treatments at the mesoscopic scale: a numerical framework and industrial examples

Settefrati

Micheli

Maire

et al. 2018

Matériaux & Techniques

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“…Different numerical improvements of this LS framework were proposed by Scholtes et al [29] and Maire et al [30] and are used here.…”

Section: Interface Descriptionmentioning

confidence: 99%

Characterization and modeling of the influence of initial microstructure on recrystallization of zircaloy-4 during hot forming

Grand¹,

Flipon²,

Gaillac³

et al. 2022

Preprint

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The present article proposes a detailed study of recrystallization of zircaloy-4 under hot forming conditions by means of experimental and numerical tools. Thermomechanical tests and characterization campaigns that have been necessary for this work are described. Then, the different microstructure evolution mechanisms are characterized, from the simplest one to the most complex. Grain growth kinetics is quantified and the influence of second phase particle population is analyzed. Then, a complete study of dynamic and post-dynamic recrystallization is provided. The occurrence of a continuous mechanism is confirmed and the influence of thermomechanical conditions upon recrystallization is assessed. Later, the numerical framework used to simulate grain growth, continuous and post-dynamic recrystallization is presented. After having successfully reproduced the grain coarsening kinetics with and without second phase particles, the model is used to describe continuous dynamic recrystallization and post-dynamic recrystallization from an initial equiaxed and fully recrystallized microstructure. The agreement between experimental and numerical results is assessed in details. Finally, post-dynamic recrystallization is simulated, starting from two deformed microstructures characterized by electron back-scattered diffraction technique and immersed into simulations. This allows to discuss and reproduce the influence of initial microstructure.

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“…In this case, the microstructure is significantly simplified and represented by interacting spherical object/objects within the homogeneous matrix (Figure 2). [25,26] Therefore, the full complexity of the microstructure morphology is still neglected.…”

Section: Introductionmentioning

confidence: 99%

Computationally Efficient Cellular Automata‐Based Full‐Field Models of Static Recrystallization: A Perspective Review

Madej

Sitko

2022

steel research int.

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The evolution of metallic material microstructures under thermomechanical treatment is a critical element that influences the in‐use properties of the final product. In the last four decades, many researchers around the world focused on reliable numerical recreation of phenomena that occur during metal processing. Particular attention is put on the phase transformation, texture evolution, and recrystallization predictions to simulate material behavior at the subsequent processing stages. In recent years, approaches taking into account explicit representation of morphological elements during simulation are becoming more frequently used even at the industrial scale. One of those methods addressed within the current article in application to static recrystallization (SRX) modeling is the cellular automata (CA) approach. A review of the CA‐based full‐field SRX models highlights the progress in capabilities of developed approaches in consideration of various mechanisms controlling microstructure evolution like heterogeneous energy distribution, probabilistic or physics‐based nucleation, grain growth driven by different driving forces, or grain boundary migration is presented within the article. The issue of the computational time associated with 3D CA modeling is particularly addressed. Possible approaches to reducing simulation times based on efficient use of modern computer architecture are finally evaluated as guidelines for further model development.

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A new topological approach for the mean field modeling of dynamic recrystallization

Cited by 25 publications

References 33 publications

Prediction of the grain size evolution during thermal treatments at the mesoscopic scale: a numerical framework and industrial examples

Prediction of the grain size evolution during thermal treatments at the mesoscopic scale: a numerical framework and industrial examples

Characterization and modeling of the influence of initial microstructure on recrystallization of zircaloy-4 during hot forming

Computationally Efficient Cellular Automata‐Based Full‐Field Models of Static Recrystallization: A Perspective Review

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