Evidence map›Paper›PMID 39125162›Full record

ArticlePolymers2024

Structural Design and Performance of Cut-Resistant Fabrics with Concave-Convex Arrays.

Fei Jiang, Ting Su, Leimei Fang, Kezheng Zhao, Honglian Cong

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
–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

5 authors.

Fei JiangEngineering Research Center of Knitting Technology, Ministry of Education, Jiangnan University, Wuxi 214122, China.
Ting SuEngineering Research Center of Knitting Technology, Ministry of Education, Jiangnan University, Wuxi 214122, China.
Leimei FangEngineering Research Center of Knitting Technology, Ministry of Education, Jiangnan University, Wuxi 214122, China.
Kezheng ZhaoEngineering Research Center of Knitting Technology, Ministry of Education, Jiangnan University, Wuxi 214122, China.
Honglian CongEngineering Research Center of Knitting Technology, Ministry of Education, Jiangnan University, Wuxi 214122, China.

Funding

Fundamental Research Funds for the Central Universities JUSRP123005Natural Science Foundation of Jiangsu Province BK20231056
6 · The paper itself

Abstract

As the risk of social security increases, it is crucial to develop flexible protective materials that combine flexibility with high protective performance. Ultra-high-molecular-weight polyethylene (UHMWPE) was selected as the raw material, and four types of flat-knitting cut-resistant fabrics were ultimately designed and prepared from a three-dimensional longitudinal dimension and concave-convex array structure based on rib knitting. A series of experiments must be conducted on fabrics in order to study the law of protection performance of different structural fabrics. They were thus subjected to comprehensive evaluation and theoretical analysis of cut resistance. The results demonstrate that the four structural fabrics exhibited resilience in abrasion tests, withstanding over 100,000 cycles without failure. A weighting algorithm was employed to determine the comprehensive cutting resistance of the S1, S2, S3, and S4 structural fabrics, resulting in values of 1939.9 gf, 2298.6 gf, 2577.1 gf, and 2822.2 gf, respectively. Therefore, S1 reached class A4, which is sufficient to address a medium cut hazard. Similarly, S2, S3, and S4 reached class A5, which is adequate to address a high cut hazard. The obtained fitting equation, with uniform yarn fineness T as the dependent variable, demonstrates that the cut resistance improved as the concave-convex density level increased.

Indexed as

abrasion resistanceconcave–convex arrays structurecut resistanceflat knittingUHMWPE

Identifiers

PMID39125162
PMCPMC11313739

What Socratic holds

Textmetadata
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 Socratic graph.