Deformation bands (DBs) formed in metals even in single crystals are known to give rise to the microstructural heterogeneities, thus contributing to some long-standing microstructure formation problems, such as the occurrence of recrystallization on the basis of deformed microstructure. Previous experimental transmission electron microscope (TEM) work has identified two types of DBs in the microscopic scale, i.e. kink bands and bands of secondary slips, showing the importance of understanding the slip activation for DBs. To extend the theory in mesoscale, single crystal and multi-crystal pure aluminium, as well as their corresponding crystal plasticity finite element (CPFE) models, are used in this paper to explore the effect of grain orientation, strain level and neighbouring grains on the formation of DBs. It is demonstrated that slip band intersection of primary and secondary slips is predicted to constrain the lattice sliding but facilitate the lattice rotation for the formation of DBs regarding the wall of DBs and its orientation. It is found that the impact of the above factors on the formation of DBs is caused by the slip field of primary slips. A sufficient amount of primary slips activated inside grains would be the key to the formation of distinct DBs with high area fraction and aspect ratio.
An in-depth understanding of the recrystallization process in alloys is critical to manufacturing metal parts with superior properties. However, the development of recrystallization model under various processing conditions is still in its early research stage and becoming an urgent demand for both the manufacturing industry and scientific research. In this work, a validated numerical model that is capable of predicting the recrystallized grain structure, incubation time for the grain nucleation and texture evolution, was developed using a Kobayashi, Warren and Carter (KWC) phase-field model coupled with crystal plasticity finite element (CPFE) analysis. Through characterising the microstructure evolution of static recrystallization (SRX) by quasi-in-situ Electron Backscatter Diffraction (EBSD) mapping, insights into nucleation position, grain growth rate and orientation correlation between nucleated grains and initial grains were established and transferred into the computational model. This model enables a reliable and accurate prediction of recrystallized microstructure and texture for pure aluminium under different processing routes. It is believed that this physically-based modelling work in mesoscale will motivate further micromechanical modelling studies using crystal plasticity to predict the performance of structural alloys after thermomechanical processing.
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