Linking plastic deformation to recrystallization in metals using digital microstructures

Logé, Roland E.; Bernacki, Marc; Resk, Héba; Delannay, Laurent; Digonnet, Hugues; Chastel, Yvan; Coupez, Thierry

doi:10.1080/14786430802502575

Cited by 60 publications

(38 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consequently, the rates of volume change for small grain sizes are Comparing the results obtained using the mean field model discussed in [41] and the direct use of Equation 12, it is observed that the effect of the volume conservation treatment is more important for a small number of representative grain families (around 50). In fact, when using 40 representative grain families (as the case in the comparisons presented in Figure 8), the direct use of Equation 12 gives better results than the model presented in [41]. However, for a statistical number of representative grains around 200, both methods lead to the same results, and the volume conservation treatment does not affect the results.…”

Section: From Equation 11mentioning

confidence: 64%

“…Future work will be dedicated to (i) investigating volume conservation issues in grain growth regime, (ii) analyzing the number of sides relationship with the grain size, particularly in the quasi-steady regime, (iii) extending the present study from 2D to 3D, (iv) considering anisotropic grain boundary mobility and energy, and (v) following the same strategy to compare static and dynamic recrystallization predictions of the mean field model presented in [41] with those obtained with the full field approach [12] [13].…”

Section: Discussionmentioning

confidence: 99%

“…Digital microstructures are often generated using Voronoï cells [22] [12]. Despite its widespread use, this classical method only allows to impose the mean grain size, and not the grain size distribution.…”

Section: Digital Microstructures and Fe Immersionmentioning

confidence: 99%

See 2 more Smart Citations

Assessment of simplified 2D grain growth models from numerical experiments based on a level set framework

Cruz-Fabiano

Logé

Bernacki

2014

Computational Materials Science

Self Cite

View full text Add to dashboard Cite

In this paper, the results of a 2D full field grain growth model are compared with several 2D mean field grain growth models (Burke and Turbull model and Hillert/Abbruzzese model), using simplified assumptions of isotropic grain boundary energy and mobility, and under the absence of precipitates. The full field model is based on a finite element formulation combined with a level set framework, used to describe the granular structure, and model grain boundary motion through a diffusion formulation. The initial digital microstructures are created using a coupled "Voronoï-Laguerre/dense sphere packing" algorithm, which allows to obey different types of initial grain size distributions, in the considered 2D context. The results show that only the Hillert/Abbruzzese model accurately describes grain growth kinetics for all considered grain size distributions. The validity of the Burke and Turnbull model is, on the contrary, restricted to specific distributions.

show abstract

Section: From Equation 11mentioning

confidence: 64%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Assessment of simplified 2D grain growth models from numerical experiments based on a level set framework

Cruz-Fabiano

Logé

Bernacki

2014

Computational Materials Science

Self Cite

View full text Add to dashboard Cite

show abstract

“…As it is an in situ, non-destructive method, it can be used for time-dependent studies of grain structure evolution [14,15], but requires high-intensity synchrotron sources that are not generally accessible. In recent years, a variety of numerical models have also been developed to simulate grain structures, e.g., the Monte-Carlo (Potts) model [16], the ellipsoid packing algorithm combined with the cellular automata (CA) method [17], the phase field model [18] and level-set methods [19,20]. In addition to the experiment-and simulation-based methods, computational geometrical models have been applied in representing equivalent grain structures.…”

Section: Introductionmentioning

confidence: 99%

Controlled Poisson Voronoi tessellation for virtual grain structure generation: a statistical evaluation

Zhang¹,

Balint²,

Lin³

2011

Philosophical Magazine

View full text Add to dashboard Cite

“…In a series of papers by the same group of authors, level set models are used in both two-and three-dimensional finite element models to simulate recrystallization and grain growth [132,[137][138][139]. Coupling of a crystal plasticity finite element model with a level set formulation of recrystallization is presented in [140]. A level set approach is also taken in [141,142] where a finite difference scheme is used on fixed grids, also in both two and three dimensions.…”

Section: Level Set Modelsmentioning

confidence: 99%

Approaches to Modeling of Recrystallization

Hallberg

2011

Metals

153

View full text Add to dashboard Cite

Control of the material microstructure in terms of the grain size is a key component in tailoring material properties of metals and alloys and in creating functionally graded materials. To exert this control, reliable and efficient modeling and simulation of the recrystallization process whereby the grain size evolves is vital. The present contribution is a review paper, summarizing the current status of various approaches to modeling grain refinement due to recrystallization. The underlying mechanisms of recrystallization are briefly recollected and different simulation methods are discussed. Analytical and empirical models, continuum mechanical models and discrete methods as well as phase field, vertex and level set models of recrystallization will be considered. Such numerical methods have been reviewed previously, but with the present focus on recrystallization modeling and with a rapidly increasing amount of related publications, an updated review is called for. Advantages and disadvantages of the different methods are discussed in terms of applicability, underlying assumptions, physical relevance, implementation issues and computational efficiency.

show abstract

Linking plastic deformation to recrystallization in metals using digital microstructures

Cited by 60 publications

References 50 publications

Assessment of simplified 2D grain growth models from numerical experiments based on a level set framework

Assessment of simplified 2D grain growth models from numerical experiments based on a level set framework

Controlled Poisson Voronoi tessellation for virtual grain structure generation: a statistical evaluation

Approaches to Modeling of Recrystallization

Contact Info

Product

Resources

About