Our system is currently under heavy load due to increased usage. We're actively working on upgrades to improve performance. Thank you for your patience.
2006
DOI: 10.1016/j.actamat.2006.03.022
|View full text |Cite
|
Sign up to set email alerts
|

Effects of grain size distribution on the mechanical response of nanocrystalline metals: Part II

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

1
48
0

Year Published

2007
2007
2015
2015

Publication Types

Select...
4
3
1

Relationship

0
8

Authors

Journals

citations
Cited by 88 publications
(49 citation statements)
references
References 18 publications
1
48
0
Order By: Relevance
“…Zhang and Tong [17] presented the numerical computation of 3D as a general investigation tool that featured an aggregate computation including element type and geometrical representation of grain boundary. Based on voronoi tessellation, lognormal and gamma distribution were used to describe the distribution of grain size in polycrystalline by Zhu et al [18] and Dalla et al [19].…”
Section: Introductionmentioning
confidence: 99%
“…Zhang and Tong [17] presented the numerical computation of 3D as a general investigation tool that featured an aggregate computation including element type and geometrical representation of grain boundary. Based on voronoi tessellation, lognormal and gamma distribution were used to describe the distribution of grain size in polycrystalline by Zhu et al [18] and Dalla et al [19].…”
Section: Introductionmentioning
confidence: 99%
“…As mentioned in the introduction, both grain size and grain size distribution could play important roles in determining the responses of NC metals [47]. In this part, we will present a modified EVPSC method with considering grain size distribution to bridge the gap between the microscopic mechanical behaviour of individual grains and macroscopic mechanical behaviour of NC.…”
Section: Elasto-viscoplastic Self-consistent Methods With Grain Size Dmentioning
confidence: 99%
“…First, based on the classical self-consistent theory, a representative element volume (RVE) is chosen as shown in figure 1a, which contains N GIs with different grain sizes and between them are the GBs [53]. The grain size distribution follows the log-normal distribution as represented by Zhu et al [47], i.e.…”
Section: Elasto-viscoplastic Self-consistent Methods With Grain Size Dmentioning
confidence: 99%
See 1 more Smart Citation
“…Using this approach, Zhu, Asaro and colleagues [60,61] developed a polycrystalline constitutive model of nanocrystalline materials (electrodeposited Ni), and studied the effect of the grain size distribution (taken as lognormal probability distribution) on the mechanical behaviour of nanonickel. The model takes into account the simultaneous contributions of deformation mechanisms including grain boundary emission of dislocations and/or stacking faults, as well as for grain boundary sliding.…”
Section: Dislocation Mechanisms Of Deformation and Polycrystal Plastimentioning
confidence: 99%