Modeling the recrystallized grain size in single phase materials

Wang, Shengyu; Holm, Elizabeth A.; Suni, Jaakko P.; Alvi, Mohammed H.; Kalu, Peter N.; Rollett, Anthony D.

doi:10.1016/j.actamat.2011.03.011

Cited by 26 publications

(21 citation statements)

References 29 publications

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“…3, is inversely proportional to the total grain boundary length. Higher deformation levels result in smaller final recrystallized grain size [24]. Smaller recrystallized grain size results in greater total grain boundary length (per unit area).…”

Section: Resultsmentioning

confidence: 99%

Thermo-mechanical factors influencing annealing twin development in nickel during recrystallization

Jin

Rollett

et al. 2015

J Mater Sci

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International audienceThe effects of prior stored energy level, annealing temperature, heating velocity, and initial grain size on annealing twin development during static recrystallization of commercially pure nickel (99.999 %) are investigated. The twin content (measured as the twin boundary density or as the number of twins per grain) at the end of recrystallization is shown to be primarily influenced by the prior stored energy level and by the initial grain size, but the effects of heating rate and the annealing temperature are negligible. Taken together, the results are consistent with a new proposition that roughness of the recrystallization front promotes the formation of annealing twins during recrystallization

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Section: Resultsmentioning

confidence: 99%

Thermo-mechanical factors influencing annealing twin development in nickel during recrystallization

Jin

Rollett

et al. 2015

J Mater Sci

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“…Coarsening is a phenomenon that is widely observed during thermal processing of many materials. It occurs during material processing of metallic alloys [1][2][3][4], polymers [5][6][7][8], bicontinuous nanoporous gold [9,10] and semiconductors [11][12][13]. Following either spinodal decomposition or nucleation and growth, a two-phase system undergoes coarsening after the concentration of each phase approaches its equilibrium value.…”

Section: Introductionmentioning

confidence: 99%

“…In conserved dynamics, even though v is not proportional to the mean curvature, the statistical analysis in Sec. 4 , with given values of H and d can be written as…”

mentioning

confidence: 99%

Coarsening of complex microstructures following spinodal decomposition

et al. 2017

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Coarsening plays a pivotal role in materials engineering, but our understanding of the dynamics of coarsening in morphologically complex systems is still limited. In this paper, we examine the correlations between the interfacial velocity and interfacial morphologies, and then predict the evolution of mean curvature based on the correlations. Three simulated structures with varying volume fractions, two bicontinuous and one nonbicontinuous, are generated using the Cahn-Hilliard equation. We find general correlations between interfacial velocity and mean curvature, as well as between interfacial velocity and the surface Laplacian of the mean curvature. Furthermore, we find that the probability of finding a patch of interface with a given normal velocity and the same local principal curvatures is described well by a Gaussian distribution, independent of the principal curvature values and the volume fractions of the structures. We also find that average interfacial velocity is described by a polynomial of the mean curvature and the net curvature. Based on this finding, we develop a semi-analytical approach to predicting the rate of change of the mean curvature, which determines the morphological evolution of complex microstructures.

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“…The arrangement of these dislocation densities is mechanically stable in a deformed matrix [22,23]. On the other hand, they are not thermodynamically stable, but rather become the favorable places for strain-free grains to nucleate within the deformed matrix when it is subjected to temperatures on the order of T 0.4 m [24].…”

Section: Introductionmentioning

confidence: 99%

3D microstructural evolution of primary recrystallization and grain growth in cold rolled single-phase aluminum alloys

Adam

Zöllner

Field

2018

Modelling Simul. Mater. Sci. Eng.

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Modeling the microstructural evolution during recrystallization is a powerful tool for the profound understanding of alloy behavior and for use in optimizing engineering properties through annealing. In particular, the mechanical properties of metallic alloys are highly dependent upon evolved microstructure and texture from the softening process. In the present work, a Monte Carlo (MC) Potts model was used to model the primary recrystallization and grain growth in cold rolled single-phase Al alloy. The microstructural representation of two kinds of dislocation densities, statistically stored dislocations and geometrically necessary dislocations were quantified based on the ViscoPlastic Fast Fourier transform method. This representation was then introduced into the MC Potts model to identify the favorable sites for nucleation where orientation gradients and entanglements of dislocations are high. Additionally, in situ observations of non-isothermal microstructure evolution for singlephase aluminum alloy 1100 were made to validate the simulation. The influence of the texture inhomogeneity is analyzed from a theoretical point of view using an orientation distribution function for deformed and evolved texture.

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Modeling the recrystallized grain size in single phase materials

Cited by 26 publications

References 29 publications

Thermo-mechanical factors influencing annealing twin development in nickel during recrystallization

Thermo-mechanical factors influencing annealing twin development in nickel during recrystallization

Coarsening of complex microstructures following spinodal decomposition

3D microstructural evolution of primary recrystallization and grain growth in cold rolled single-phase aluminum alloys

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