Evidence map›Paper›PMID 38006150›Full record

ArticlePolymers2023

The Interface Strengthening of Multi-Walled Carbon Nanotubes/Polylactic Acid Composites via the In-Loop Hybrid Manufacturing Method.

Hongbin Li, Zhuang Jiang, Zhihua Li, Yubao Peng, Qiushuang Zhang, Xinyi Xiao

Abstract read
In one paragraph

Article in Polymers, 2023. 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.

Hongbin LiDepartment of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao 266061, China.ORCID 0000-0001-7593-5415
Zhuang JiangDepartment of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao 266061, China.
Zhihua LiDepartment of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao 266061, China.
Yubao PengDepartment of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao 266061, China.
Qiushuang ZhangDepartment of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao 266061, China.
Xinyi XiaoDepartment of Mechanical Engineering, University of North Texas, Discovery Park, Denton, TX 76203, USA.

Funding

Natural Science Foundation of Shandong Province ZR2021QE151Open Fund of Hubei University of Technology KFJJ-2022002
6 · The paper itself

Abstract

In this study, a new in-loop hybrid manufacturing method is proposed for fabricating multi-walled carbon nanotube (MWCNTs)/polylactic acid (PLA) composites. Molecular dynamics simulations were conducted in conjunction with experiments to reveal the mechanism of the proposed method for improving the interfacial performance of MWCNTs/PLA. The superposed gradients in the PLA chain activity and conformation due to the plasma-actuating MWCNTs promoted intermolecular interaction and infiltration between the MWCNTs and PLA chains, forming an MWCNTs-stress-transfer bridge in the direction perpendicular to the interlayer interface, and finally enhancing the performance of the composites. The experimental results indicated that the interfacial shear strength of the specimen fabricated using the proposed method increased by 30.50% to 43.26 MPa compared to those without the addition of MWCNTs, and this value was 4.77 times higher than that of the traditional manufacturing method, demonstrating the effectiveness of the proposed method in improving the interfacial properties of MWCNTs/PLA composites.

Indexed as

in-loop hybrid manufacturinginterfacial propertymolecular dynamicsmulti-wall carbon nanotubes

Identifiers

PMID38006150
PMCPMC10674376

What OpenQuestion holds

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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.