A calibrated Monte Carlo approach to quantify the impacts of misorientation and different driving forces on texture development
| Autor: | Liangzhe Zhang, Anthony D. Rollett, Di Wu, Mark T. Lusk, Timothy Bartel |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Recrystallization (geology)
Materials science Polymers and Plastics Misorientation Monte Carlo method Metals and Alloys Partition function (mathematics) Electronic Optical and Magnetic Materials Ceramics and Composites Grain boundary Texture (crystalline) Statistical physics Scaling Parametric statistics |
| Zdroj: | Acta Materialia. 60:1201-1210 |
| ISSN: | 1359-6454 |
| DOI: | 10.1016/j.actamat.2011.10.057 |
| Popis: | A calibrated Monte Carlo (cMC) approach, which quantifies grain boundary kinetics within a generic setting, is presented. The influence of misorientation is captured by adding a scaling coefficient in the spin flipping probability equation, while the contribution of different driving forces is weighted using a partition function. The calibration process relies on the established parametric links between Monte Carlo (MC) and sharp-interface models. The cMC algorithm quantifies microstructural evolution under complex thermomechanical environments and remedies some of the difficulties associated with conventional MC models. After validation, the cMC approach is applied to quantify the texture development of polycrystalline materials with influences of misorientation and inhomogeneous bulk energy across grain boundaries. The results are in good agreement with theory and experiments. |
| Databáze: | OpenAIRE |
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