A Calibrated Monte Carlo Approach to Quantify the Impacts of Misorientation and Different Driving Forces on Texture Development

A calibrated Monte Carlo (cMC) approach, which quantifies grain boundary kinetics within a generic setting, is presented here. The influence of misorientation is captured by adding a scaling coefficient in the flipping probability equation, while the contribution of different driving forces is weigh...

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Bibliographic Details
Published in:AIP conference proceedings 2012-03
Main Authors: Zhang, Liangzhe, Rollett, Anthony, Bartel, Timothy, Wu, Di, Lusk, Mark
Format: Article
Language:English
Online Access:Get full text
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Summary:A calibrated Monte Carlo (cMC) approach, which quantifies grain boundary kinetics within a generic setting, is presented here. The influence of misorientation is captured by adding a scaling coefficient in the 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 (SI) models. The cMC algorithm quantifies microstructural evolution under complex thermomechanical environment 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 aluminum with influences of misorientation and inhomogeneous bulk energy across grain boundaries. The results are in good agreement with theory and experiments.
ISSN:0094-243X