Abstract
Titanium alloys with high stacking-fault energy show continuous dynamic recrystallization (CDRX) instead of discontinuous dynamic recrystallization (DDRX) during high-temperature deformation. During the CDRX mechanism, new recrystallized grains are generated by the progressive increasing of the low-angle boundary misorientations. In the present work, the CDRX phenomenon was modeled by using a cellular automaton (CA)-based method. The size of seeds was determined based on a phenomenological approach, and then the number and distribution of recrystallized grains as well as the topological changes were applied by utilizing the CA approach. In order to verify the capacity of the proposed model for predicting the microstructural characteristics, the experimental data of the hot-compressed TiNiFe alloy were used. Results showed that the presented model can accurately estimate the fraction of the recrystallized area. Moreover, the macroscopic flow curves of the alloy were well predicted by the present model.
Highlights
Hot deformation characteristics of metals and alloys are interesting subjects which have been extensively investigated
In the case of CDRX, the stored strain energy is released by the formation of subgrains with a progressive transformation of low-angle grain boundaries into high-angle grain boundaries [5,6], while during DDRX, new recrystallized grains are nucleated along the initial grain boundaries and grow towards the area with higher dislocation density [7] to decrease the stored strain energy [8]
One of the main advantages of this work is its simplicity compared with the similar works based on the crystal plasticity approach, such as the model proposed by Svyetlichnyy et al [54], who have on the crystal plasticity approach, such as the model proposed by Svyetlichnyy et al [54], who have modeled the grain refinement of a microalloyed steel during the severe plastic deformation process modeled the grain refinement of a microalloyed steel during the severe plastic deformation process by using a frontal cellular automaton (CA) modeling
Summary
Recrystallization Based on Cellular Automaton and a Phenomenological (CAP) Approach. Morteza Azarbarmas 1, * , Seyed Sajad Mirjavadi 2, * , Ali Ghasemi 3 and Abdel Magid Hamouda 2. Faculty of Materials Engineering, Sahand University of Technology, Tabriz 513351996, Iran
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