Modeling the kinetics and microstructural evolution during static recrystallization - Monte Carlo simulation of recrystallization

B. Radhakrishnan, G. B. Sarma, T. Zacharia

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164 Scopus citations

Abstract

The kinetics of microstructure and texture evolution during static recrystallization of a cold-rolled and annealed f.c.c. material is simulated by coupling a finite element model of microstructural deformation with a Monte Carlo simulation of recrystallization. The salient features of the simulations include a nucleation model for recrystallization based on subgrain growth and the modeling of simultaneous recovery during recrystallization. The simulation results quantify the effects of non-uniform stored energy distribution and orientation gradients present in the cold-worked microstructure on recovery by subgrain growth, and hence on the spatial distribution of nuclei and their orientations. The growth of these recrystallized nuclei in the presence of continued recovery of the substructure has been simulated for initial cold-work levels of ε = 0.7 and 1.1 obtained by plane strain compression. The simulations are shown to be potentially capable of capturing the formation and evolution of cube texture commonly observed in cold-rolled and annealed f.c.c. materials.

Original languageEnglish
Pages (from-to)4415-4433
Number of pages19
JournalActa Materialia
Volume46
Issue number12
DOIs
StatePublished - Jul 24 1998

Funding

This research was sponsored by the Division of Materials Science, U.S. Department of Energy, under contract DE-AC05-96OR22464 with Lockheed Martin Energy Research Corporation. The research was supported in part by an appointment to the Oak Ridge National Laboratory Postdoctoral Research Associates Program administered jointly by the Oak Ridge National Laboratory and the Oak Ridge Institute for Science and Education. The authors acknowledge the use of the Intel PARAGON XP/S 35 located in the Oak Ridge National Laboratory Center for Computational Sciences (CCS), funded by the Department of Energy's Office of Scientific Computing.

FundersFunder number
Division of Materials Science
Office of Scientific Computing
U.S. Department of EnergyDE-AC05-96OR22464
Lockheed Martin Corporation
Oak Ridge National Laboratory
Oak Ridge Institute for Science and Education

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