Evidence map›Paper›PMID 36556841›Full record

ArticleMaterials (Basel, Switzerland)2022

Study on Preparation and Properties of Glass Fibre Fabric Reinforced Polyphenylene Sulphide Composites.

Lingda Shao, Jinbo Huang, Xuhuang Feng, Zeyu Sun, Yingjie Qiu, Wei Tian, Chengyan Zhu

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Lingda ShaoCollege of Textile Science and Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China.ORCID 0000-0001-8756-8050
Jinbo HuangCollege of Textile Science and Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Xuhuang FengCollege of Textile Science and Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Zeyu SunCollege of Textile Science and Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Yingjie QiuCollege of Textile Science and Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Wei TianCollege of Textile Science and Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Chengyan ZhuCollege of Textile Science and Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, glass fiber fabric reinforced polyphenylene sulfide composites were prepared by hot pressing. The effects of glass fibre modification and hot pressing temperature on the properties of the composites were investigated using a scanning electron microscope, infrared spectrometer, universal testing machine, and DIGEYE digital imaging colour measurement system. The results show that after the treatment with a silane coupling agent, the silane coupling agent was more uniformly distributed on the surface of the glass fibres, and the bonding effect between the glass fibre fabric and polyphenylene sulphide was significantly improved. The strength of the composites increased and then decreased with the increase of hot pressing temperature, and the surface colour of the composites became darker and darker. When the hot-pressing temperature is 310 °C, the mechanical properties of glass fabric-reinforced polyphenylene sulfide composites are at their best, the tensile strength reaches 51.9 MPa, and the bending strength reaches 78 MPa.

Indexed as

composite materialglass fibremechanical propertiespolyphenylene sulphidesilane coupling agent

Identifiers

PMID36556841
PMCPMC9784650

What OpenQuestion holds

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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.