Assessment of the dislocation bias in fcc metals and extrapolation to austenitic steels
| Autor: | Karl Samuelsson, Pär Olsson, Zhongwen Chang, Nils Sandberg, Giovanni Bonny, Dmitry Terentyev |
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| Rok vydání: | 2015 |
| Předmět: |
Austenite
Nuclear and High Energy Physics Materials science Condensed matter physics Metallurgy Extrapolation chemistry.chemical_element Interaction energy Crystallographic defect Condensed Matter::Materials Science Nuclear Energy and Engineering chemistry Aluminium Metallurgy and Metallic Materials General Materials Science Metallurgi och metalliska material Diffusion (business) Dislocation Deformation (engineering) |
| Zdroj: | Journal of Nuclear Materials. 465:13-19 |
| ISSN: | 0022-3115 |
| Popis: | A systematic study of dislocation bias has been performed using a method that combines atomistic and elastic dislocation-point defect interaction models with a numerical solution of the diffusion equation with a drift term. Copper, nickel and aluminium model lattices are used in this study, covering a wide range of shear moduli and stacking fault energies. It is found that the dominant parameter for the dislocation bias in fcc metals is the width of the stacking fault ribbon. The variation in elastic constants does not strongly impact the dislocation bias value. As a result of this analysis and its extrapolation, the dislocation bias of the widely applied austenitic stainless steels of 316 type is predicted to be about 0.1 at temperature close to the swelling peak (815 K) and typical dislocation density of 1014 m-2. This is in line with the bias calculated using the elastic interaction model, which implies that the prediction method can be used readily in other fcc systems even without EAM potentials. By comparing the bias values obtained using atomistic- and elastic interaction energies, about 20% discrepancy is found, therefore a more realistic bias value for the 316 type alloy is 0.08 in these conditions. Updated from submitted to published.QC 20151021 |
| Databáze: | OpenAIRE |
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