Abstract
Thermo-mechanical processing to produce optimum grain structure and texture is essential for the successful utilization of commercial aluminum alloys and steels as sheet products. Several modeling techniques have been developed in the past with a reasonably good predictive capability for bulk deformation textures. However, prediction of texture evolution during recrystallization remains very challenging because of uncertainties involved in predicting the mechanisms that lead to nuclei formation and crystallographic orientations of the nuclei, and the uncertainties involved in predicting the grain boundary properties that determine the growth kinetics of the nuclei. We present some of our recent work in modeling the recrystallization textures following cold deformation in polycrystalline bcc metals and hot-deformation in fcc metals.
Original language | English |
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Pages (from-to) | 73-79 |
Number of pages | 7 |
Journal | Materials Science and Engineering: A |
Volume | 494 |
Issue number | 1-2 |
DOIs | |
State | Published - Oct 25 2008 |
Funding
Research sponsored in part by the US Department of Energy Office of Electricity Delivery and Energy Reliability and by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory (ORNL), managed by UT-Battelle, LLC for the US Department of Energy under contract no. DE-AC05-00OR22725. This research used resources of the National Center for Computational Sciences at ORNL, which is supported by the Office of Science of the US Department of Energy under contract no. DE-AC05-00OR22725.
Keywords
- Nucleation
- Recrystallization
- Texture