Abstract

In this study, an integrated paradigm was developed for the simulation of static recrystallization (SRX) after cold rolling of a Cu-2Be alloy. The proposed framework also models with the normal and abnormal grain growth (AGG) of the after transient recrystallization through post-rolling annealing when stored and interfacial energies are varying. The simulation of AGG was done to study the influence of precipitates and sub-boundaries. The initial stored energy as a result of deformation was calculated. The finite element analysis was used to compute the heterogeneous distribution of stored energy due to heterogeneous deformation and is then incorporated to Monte Carlo (MC) algorithm to attain SRX grain size and kinetics. The stored energy assigned to the as-rolled grain micrograph is introduced to the MC simulation as the initial condition considering the size-scale of the calculation domain. The effects of the Zener drag pressure stemming from the presence of second phase particles on the recrystallization progress was also incorporated into the MC model. To evaluate the simulation predictions, the numerical results of the SRX fractions and grain sizes after cold rolling was studied and compared to the experimental ones, and a reasonable accordance is achieved. The numerical results presented that precipitates and sub-boundaries in cooperation take a significant role in persuading AGG by wetting alongside triple junctions. To validate the quantitative results, SRX transformation kinetics has been investigated using the differential scanning calorimetry.

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