2019
DOI: 10.1038/s41598-019-56252-x
|View full text |Cite
|
Sign up to set email alerts
|

Predicting the flow stress and dominant yielding mechanisms: analytical models based on discrete dislocation plasticity

Abstract: Dislocations are the carriers of plasticity in crystalline materials. Their collective interaction behavior is dependent on the strain rate and sample size. In small specimens, details of the nucleation process are of particular importance. In the present work, discrete dislocation dynamics (DDD) simulations are performed to investigate the dominant yielding mechanisms in single crystalline copper pillars with diameters ranging from 100 to 800 nm. Based on our simulations with different strain rates and sample… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
6
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 19 publications
(6 citation statements)
references
References 61 publications
0
6
0
Order By: Relevance
“…Second, for metals, the electric force may be so noticeable that it may dominate dislocation dynamics. Third, conclusions upon plastic deformations, as are built on classical dislocation dynamics where the electric force has been neglected [48], e.g., DDD [31][32][33][34][35][36][37][38][39][40][41][42], may need to be re-examined carefully by adding the electric force. A comparison between this theory and associated experimental observations needs to be performed in the future.…”
Section: Correction For Image Forcementioning
confidence: 99%
See 1 more Smart Citation
“…Second, for metals, the electric force may be so noticeable that it may dominate dislocation dynamics. Third, conclusions upon plastic deformations, as are built on classical dislocation dynamics where the electric force has been neglected [48], e.g., DDD [31][32][33][34][35][36][37][38][39][40][41][42], may need to be re-examined carefully by adding the electric force. A comparison between this theory and associated experimental observations needs to be performed in the future.…”
Section: Correction For Image Forcementioning
confidence: 99%
“…Three-dimensional DDD was utilized to delve into the nano-indentation behaviors affected by grain boundaries for an aluminum bicrystal [37]. Based on DDD, dominant yielding mechanisms in single-crystalline copper nano-pillars was investigated [38], and for dislocation nucleation mechanism a transition from dislocation multiplication to surface nucleation was observed [38]. Two-dimensional DDD simulations were performed to minimally capture the phenomenology of nanocrystalline deformation [39].…”
Section: Introductionmentioning
confidence: 99%
“…[5]). This modeling approach has been successful at reproducing qualitatively the scale-free statistical properties of plastic slip avalanches [6][7][8] and the size dependence of plastic yield [9,10]. The model is nonetheless empirical in the way reaction rates and dislocation mobilities are introduced as ad hoc tuning parameters.…”
Section: Introductionmentioning
confidence: 99%
“…From modeling and simulation perspective, Groma et al 11 studied dislocation patterns in a two‐dimensional continuum dislocation theory. Hu et al 12 used discrete dislocation dynamics (DDD) simulations to investigate dislocation pattern formation in single crystalline copper pillar and study the related yielding mechanisms. Moreover, Ispanovity et al 13 developed a stochastic continuum model for statistically stored and geometrically necessary dislocation densities.…”
Section: Introductionmentioning
confidence: 99%