Evidence map›Paper›PMID 40788961›Full record

ArticlePloS one2025

Atomistic study on mechanical properties of Al matrix composite with different combining forms of reinforcements.

Yongchao Zhu, Na Li, Lijuan Sun, Baolin Wang, Yanlong Gao, Songtao Li

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Yongchao ZhuDepartment of Railway Engineering, Zhengzhou Railway Vocational and Technical College, Zhengzhou, China.ORCID https://orcid.org/0000-0002-3116-4935
Na LiSchool of Mechanics and Engineering Science, Zhengzhou University, Zhengzhou, China.
Lijuan SunDepartment of Railway Engineering, Zhengzhou Railway Vocational and Technical College, Zhengzhou, China.
Baolin WangHenan Jiaoyuan Engineering Technology Group Co. Ltd, Zhengzhou, China.
Yanlong GaoHenan Jiaoyuan Engineering Technology Group Co. Ltd, Zhengzhou, China.
Songtao LiDepartment of Railway Engineering, Zhengzhou Railway Vocational and Technical College, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Models of matrix composite (MMC) are built through molecular dynamic (MD) simulation to study the effect of different combining forms of reinforcements. Diamond particle and graphene nanoplate (GNP) are selected as the two kinds of reinforcements, forming six combinations by changing the location and orientation of them. Then, the same sintering processes are conducted to achieve sintered composites. Bulk volume and Al volume of sintered composite reveal that a compacter structure can be produced in the model with two GNPs those are not parallel, or in the model where the diamond particle is out of the GNP plane. Structural analysis indicates that the ratio of arranged atoms rather than nanopore has a greater impact on Al volume. Tensile results show that the model reinforced by both GNP and diamond in a same plane gives the best performance in both strength and ductility, regardless of its low ratio of arranged atoms that may lead to a further improvement at the larger scale. In other words, GNP can play its role very well along the GNP plane, and diamond particle can improve the property vertical to GNP. This combined strengthening mechanism can be well presented by evolution of atomic configurations.

Indexed as

AluminumGraphiteDiamondMolecular Dynamics SimulationTensile StrengthAluminumDiamondGraphite

Identifiers

PMID40788961
PMCPMC12338809

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.