Evidence map›Paper›PMID 39125146›Full record

ArticlePolymers2024

Research on the Mechanical and Thermal Properties of Carbon-Fiber-Reinforced Rubber Based on a Finite Element Simulation.

Xiaocui Yang, Xinmin Shen, Wenqiang Peng, Daochun Hu, Xiaoyong Wang, Haichao Song, Rongxing Zhao, Chunmei Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Polymers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Xiaocui YangEngineering Training Center, Nanjing Vocational University of Industry Technology, Nanjing 210023, China.ORCID 0009-0008-9114-1912
Xinmin ShenField Engineering College, Army Engineering University of PLA, Nanjing 210007, China.ORCID 0000-0002-2945-4896
Wenqiang PengCollege of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China.
Daochun HuEngineering Training Center, Nanjing Vocational University of Industry Technology, Nanjing 210023, China.
Xiaoyong WangEngineering Training Center, Nanjing Vocational University of Industry Technology, Nanjing 210023, China.
Haichao SongEngineering Training Center, Nanjing Vocational University of Industry Technology, Nanjing 210023, China.
Rongxing ZhaoEngineering Training Center, Nanjing Vocational University of Industry Technology, Nanjing 210023, China.
Chunmei ZhangEngineering Training Center, Nanjing Vocational University of Industry Technology, Nanjing 210023, China.

Funding

China Postdoctoral Science Foundation 2021M691579National Natural Science Foundation of China 12004178National Natural Science Foundation of China 52075538Natural Science Foundation of Hunan Province 2020JJ5670Natural Science Foundation of Jiangsu Province BK20201336Natural Science Foundation of Jiangsu Province BK20211356
6 · The paper itself

Abstract

The comprehensive performance of rubber products could be significantly improved by the addition of functional fillers. To improve research efficiency and decrease the experimental cost, the mechanical and thermal properties of carbon-fiber-reinforced rubber were investigated using finite element simulations and theoretical modeling. The simplified micromechanical model was constructed through the repeatable unit cell with periodic boundary conditions, and the corresponding theoretical models were built based on the rule of mixture (ROM), which can be treated as the mutual verification. The simulation results suggest that, in addition to the fiber volume fraction Vf

Indexed as

carbon-fiber-reinforced rubberfiber volume fractionfinite element simulationmechanical propertyrepeatable unit cellrule of mixturethermal property

Identifiers

PMID39125146
PMCPMC11314594

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.