Two stochastic mean-field polycrystal plasticity methods
Journal Article
·
· International Journal of Plasticity
OSTI ID:960483
- Los Alamos National Laboratory
In this work, we develop two mean-field polycrystal plasticity models in which the L{sup c} are approximated stochastically. Through comprehensive CPFEM analyses of an idealized tantalum polycrystal, we verify that the L{sup c} tend to follow a normal distribution and surmise that this is due to the crystal interactions. We draw on these results to develop the STM and the stochastic no-constraints model (SNCM), which differ in the manner in which the crystal strain rates D{sup c} are prescribed. Calibration and validation of the models are performed using data from tantalum compression experiments. Both models predict the compression textures more accurately than the FCM, and the SNCM predicts them more accurately than the STM. The STM is extremely computationally efficient, only slightly more expensive than the FCM, while the SNCM is three times more computationally expensive than the STM.
- Research Organization:
- Los Alamos National Laboratory (LANL)
- Sponsoring Organization:
- DOE
- DOE Contract Number:
- AC52-06NA25396
- OSTI ID:
- 960483
- Report Number(s):
- LA-UR-08-04998; LA-UR-08-4998
- Journal Information:
- International Journal of Plasticity, Journal Name: International Journal of Plasticity
- Country of Publication:
- United States
- Language:
- English
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