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

Abstract

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.

Combining microstructural characterization with crystal plasticity and phase-field modelling for the study of static recrystallization in pure aluminium

“…the sum of GND and SSD) with slip rules [35]. CPFE simulations can help to identify the heterogeneous distribution of nucleation positions and nucleated orientations in the KWC phase-field model [36]. Similarly, the recrystallized microstructure generated by the phasefield model can be imported into the finite element model to predict the mechanical behaviour of the alloy.…”

“…36 independent GND components shown in Equation(9). Equation (9) may be written in a matrix form as,…”

Survey of Modeling and Simulation Techniques for Advanced Manufacturing Technologies Volume I – Predicting Initial Microstructures

“…Apart from the classical model, attempts have also been made to predict the recrystallization process through empirical methods using the Zener-Hollomon parameter to estimate recrystallized grain size and time to 50 % recrystallization [302]- [304], as well as using advanced statistical methods [305], though these do not provide any physical insight into the process [306]. Models which simulate the recrystallization process as an initial nucleation step followed by a continuous growth of these nuclei, often consider a critical dislocation density [307]- [311] and a critical misorientation angle [312]- [315] as a criteria for the nucleation event. The subsequent growth velocity is then formulated as a product of net driving force (being a function of local grain boundary curvature, stored strain energy, and presence of impurities) to the grain boundary mobility that can also be a function of local misorientation [169], [316], [317].…”

“…The Monte Carlo (MC) Potts model, which is a generalization of the Ising model, has been used to model both static [318] and dynamic recrystallization [319] and sometimes has also been coupled with visco-plastic crystal plasticity models [315], [318] to extract deformation information.…”

How Would the Deformation Bands Affect Recrystallization in Pure Aluminium?

“…In the previous modelling work, the criteria normally used to predict grain nucleation oversimplify the processes involved, and as a result, do not match experimental findings [11][12][13]. For instance, the simulated nucleation sites usually are randomly chosen among the grit nodes [14], and the orientations of the nucleated grains are generally allocated by a stochastic process [14][15][16][17][18] which neither include the information of dislocation structure nor consider the orientation relationship between the nucleated and the initial grains. Apart from this, some recent work has tried to include the dislocation structure and the misorientation relationship into the modelling but still lack experimental support for the assignment of the nucleated grains [18,19].…”