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Studying crack propagation along symmetric tilt grain boundary with H segregation in Ni by MD simulation.
- Source :
-
Computational Materials Science . Sep2022, Vol. 212, pN.PAG-N.PAG. 1p. - Publication Year :
- 2022
-
Abstract
- [Display omitted] • H segregation can inhibit grain boundary (GB) migration, ensuring crack propagation along the GB. • H segregation promotes dislocation emission from the GB via H-induced atomistic distortion on the GB. • H-enhanced dislocation emission from GB and H-enhanced GB decohesion can significantly reduce the critical stress intensity factor of the crack propagation along GB. • With H segregation, the process of crack propagation along GB is dominated by alternate GB dislocation emission and GB cleavage. Hydrogen ingression in metals generally causes catastrophic failure. The H-induced fracture surface mostly exhibits intergranular feature, suggesting that grain boundary (GB) is the dominant crack propagation path. In this paper, the grand canonical Monte Carlo method was first performed to obtain equilibrated H distribution around various symmetric tilt grain boundaries (STGBs) in nickel. Then, atomistic simulations were conducted to study the influence of H segregation on the Mode I crack propagation behavior. In the absence of hydrogen, significant crack tip blunting and transgranular fracture are observed, implying a tendency toward ductile transgranular fracture. However, in the case of H segregation, it is found that dislocation emission from the crack tip is enhanced but the crack tip still remains highly sharp. Moreover, crack propagation is dominated by alternate GB dislocation emission and GB cleavage, implying a tendency of ductile–brittle alternating intergranular fracture behavior. The H-inhibited GB migration and H-enhanced GB dislocation emission are believed to be the key mechanisms governing the H-assisted crack propagation along the GB. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09270256
- Volume :
- 212
- Database :
- Academic Search Index
- Journal :
- Computational Materials Science
- Publication Type :
- Academic Journal
- Accession number :
- 157926766
- Full Text :
- https://doi.org/10.1016/j.commatsci.2022.111569