2016
DOI: 10.1088/1742-5468/2016/04/043204
|View full text |Cite
|
Sign up to set email alerts
|

Collective dynamics of dislocations interacting with mobile solute atoms

Abstract: We study the eect of diusing solute atoms on the collective dynamics of dislocations in plastically deforming crystals, by simulating a twodimensional discrete dislocation dynamics model with solute atoms included. We employ various protocols to apply the external stress, including constant, oscillatory and quasistatically increasing stress, and study the resulting dynamics for various values of the solute mobility, temperature, and interaction strength with the dislocations. The values of these parameters d… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
8
0

Year Published

2017
2017
2022
2022

Publication Types

Select...
6
1

Relationship

1
6

Authors

Journals

citations
Cited by 8 publications
(8 citation statements)
references
References 35 publications
0
8
0
Order By: Relevance
“…where ρ is the total dislocation density and L(r) is approximated by computing the mean line length in spheres of radius r centered at random points along the dislocation structure. We note that in the case of 2D DDD simulations, the average dislocation-dislocation correlation function changed drastically when mobile solutes (pinning points) were introduced to the system [29]. Here we focused on longerrange correlations to avoid possible effects caused by the assigned segment length restrictions of the computations.…”
Section: Characterizing Dislocation Structuresmentioning
confidence: 99%
“…where ρ is the total dislocation density and L(r) is approximated by computing the mean line length in spheres of radius r centered at random points along the dislocation structure. We note that in the case of 2D DDD simulations, the average dislocation-dislocation correlation function changed drastically when mobile solutes (pinning points) were introduced to the system [29]. Here we focused on longerrange correlations to avoid possible effects caused by the assigned segment length restrictions of the computations.…”
Section: Characterizing Dislocation Structuresmentioning
confidence: 99%
“…Similar fluctuation in W-Ta system also appeared in others observation. The results suggest that the transmutation elements Re atom has a favored function to form the vacancy, while Ta acts as a delaying role to the vacancy via a solute drag effect [31,32].…”
Section: Stability Of Mono-vacancy In W-re /Ta Systemmentioning
confidence: 95%
“…For a short dipole this exactly reproduces Eq. (16). Finally, at a given timestep the Jacobian matrix Ĵ k (according to Eq.…”
Section: Selection Of the Weight Factorsmentioning
confidence: 99%
“…These are primarily used in cases when the physical consequences of long range dislocation interactions are investigated and when large simulation volumes, large ensembles for statistical averaging, longer timescales and/or higher numerical precision is required. Due to the simplification mentioned above a quantitative agreement with experiments cannot be expected, yet, these tools have been successfully applied to investigate, e.g., creep [15,16], dislocation avalanches [17,18,19] and patterning [20,21] of dislocations. An intermediate class is represented by 2.5D simulations, which are essentially 2D but with the inclusion of some 3D mechanisms, such as dislocation multiplication or dislocation pinning [22,23,24,25,26,27,28].…”
Section: Introductionmentioning
confidence: 99%