Abstract

During static recrystallization, grains often have non-constant and non-uniform growth rates, significantly affecting the recrystallization kinetics and the microstructure after recrystallization. A cellular automaton model was employed in order to evaluate the relative influences of gradients of stored energy, grain boundary curvature, and heterogeneity of grain boundary mobility on the non-uniform migration of grain boundary segments, leading to the formation of protrusions and retrusions. Electron back-scatter diffraction measurements of a cold-rolled copper microstructure served to feed the model. Orientation maps obtained after partial recrystallization were used to assess the model outcome. The model was capable to predict the shapes of recrystallized grains with retrusions and protrusions. Effects of different model assumptions were compared to reveal individual contributions of different factors to grain size distribution, grain shape and boundary roughness. The model predicted a decreasing average grain growth rate as a result of the progressive immobilization of an increasing fraction of grain boundary segments. The model prediction was compared with experimental results, explaining the origin of stationary boundaries and indicating some further improvements necessary to reach quantitative agreement.Graphical

Highlights

  • STATIC recrystallization (SRX) occurs when a deformed material is subsequently annealed

  • Heterogeneity of grain boundaries (GB) mobility was found to influence most the average shape of recrystallized grains, whereas heterogeneity of stored energy was the main cause of GB roughness

  • Different variants of a cellular automaton (CA) model were used in order to model SRX and investigate the sensitivity of GB migration to the heterogeneity of stored energy, GB mobility, and GB curvature

Read more

Summary

Introduction

STATIC recrystallization (SRX) occurs when a deformed material is subsequently annealed. As nucleation and growth both critically depend on the thermo-mechanical history of the samples prior to annealing, recrystallization is commonly used to tailor microstructures and improve mechanical properties (e.g., References [1–7]). It is still not fullly understood how the kinetics of recrystallization and the characteristics of recrystallized microstructures are affected by different factors.[8–13]. Advanced full-field numerical models[14–23] can be used to test various assumptions about the physics determining the microstructural evolution during recrystallization Such models may contribute to the optimization of annealing processes by allowing sensitivity analyses that are unfeasible experimentally

Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call