Evidence map›Paper›PMID 39408535›Full record

ArticlePolymers2024

A Three-Dimensional Modeling Approach for Carbon Nanotubes Filled Polymers Utilizing the Modified Nearest Neighbor Algorithm.

Junpu Wang, Xiaozhuang Yue, Yuxuan Wang, Liupeng Di, Wenzhi Wang, Jingchao Wei, Fei Yu

Abstract read
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. Not yet cited in PubMed.

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

7 authors.

Junpu WangCollege of Mechanical and Electrical Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.
Xiaozhuang YueCollege of Mechanical and Electrical Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.
Yuxuan WangCollege of Mechanical and Electrical Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.
Liupeng DiCollege of Mechanical and Electrical Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.
Wenzhi WangSchool of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, China.
Jingchao WeiNational Key Laboratory of Strength and Structural Integrity, Aircraft Strength Research Institute of China, Xi'an 710065, China.
Fei YuNational Key Laboratory of Strength and Structural Integrity, Aircraft Strength Research Institute of China, Xi'an 710065, China.

Funding

Independent Research Project Foundation under the National Key Lab of Strength and Structural Integrity LSSIZZYJ202303
6 · The paper itself

Abstract

Carbon nanotubes (CNTs) are extensively utilized in the fabrication of high-performance composites due to their exceptional mechanical, electrical, and thermal characteristics. To investigate the mechanical properties of CNTs filled polymers accurately and effectively, a 3D modeling approach that incorporates the microstructural attributes of CNTs was introduced. Initially, a representative volume element model was constructed utilizing the modified nearest neighbor algorithm. During the modeling phase, a corresponding interference judgment method was suggested, taking into account the potential positional relationships among the CNTs. Subsequently, stress-strain curves of the model under various loading conditions were derived through finite element analysis employing the volume averaging technique. To validate the efficacy of the modeling approach, the stress within a CNT/epoxy resin composite with varying volume fractions under different axial strains was computed. The resulting stress-strain curves were in good agreement with experimental data from the existing literature. Hence, the modeling method proposed in this study provides a more precise representation of the random distribution of CNTs in the matrix. Furthermore, it is applicable to a broader range of aspect ratios, thereby enabling the CNT simulation model to more closely align with real-world models.

Indexed as

carbon nanotubeepoxyfinite element analysismechanical propertyrepresentative volume element

Identifiers

PMID39408535
PMCPMC11478420

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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.