Evidence map›Paper›PMID 35497251›Full record

ArticleRSC advances2020

Indentation-induced plastic behaviour of nanotwinned Cu/high entropy alloy FeCoCrNi nanolaminate: an atomic simulation.

Hui Feng, Jingwen Tang, Haotian Chen, Yuanyuan Tian, Qihong Fang, Jia Li, Feng Liu

Abstract read
In one paragraph

Article in RSC advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Hui FengState Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University Changsha 410082 PR China fangqh1327@hnu.edu.cn lijia123@hnu.edu.cn.
Jingwen TangState Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University Changsha 410082 PR China fangqh1327@hnu.edu.cn lijia123@hnu.edu.cn.
Haotian ChenState Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University Changsha 410082 PR China fangqh1327@hnu.edu.cn lijia123@hnu.edu.cn.
Yuanyuan TianState Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University Changsha 410082 PR China fangqh1327@hnu.edu.cn lijia123@hnu.edu.cn.
Qihong FangState Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University Changsha 410082 PR China fangqh1327@hnu.edu.cn lijia123@hnu.edu.cn.
Jia LiState Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University Changsha 410082 PR China fangqh1327@hnu.edu.cn lijia123@hnu.edu.cn.ORCID https://orcid.org/0000-0003-4739-381X
Feng LiuState Key Laboratory of Powder Metallurgy, Central South University Changsha 410083 PR China fengliu@csu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using large-scale molecular dynamics (MD) simulations, the effects of interface and layer number in the nanoindentation response of experimentally observed nanotwinned Cu/high entropy alloy (HEA) FeCoCrNi nanolaminate are studied. The dislocations are nucleated and emitted, which are more limited to the first twinning layer > second twinning layer > HEA layer. The stacking fault strengthening is pronounced due to the obvious difference of stacking fault energy between Cu and HEA, which can be rarely observed from the previous work in traditional alloys and metals. After the indentation induced deformation, the nanotwinned Cu/HEA FeCoCrNi nanolaminates for different layer numbers generate a mass of Shockley partial dislocations to cause the good plasticity, attributed to the strong strain gradient effect. The strong layer number and interface structure effects found here can provide insight for the design of advanced nanolaminate with high strength and good plasticity.

Identifiers

PMID35497251
PMCPMC9050047

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.