Evidence map›Paper›PMID 38201708›Full record

ArticlePolymers2023

Preparation of Polytetrafluoroethylene Superhydrophobic Materials by Femtosecond Laser Processing Technology.

Shuangquan Zhou, Yayue Hu, Yao Huang, Hong Xu, Daming Wu, Dong Wu, Xiaolong Gao

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. 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

7 authors.

Shuangquan ZhouCollege of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
Yayue HuCollege of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
Yao HuangCollege of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China.ORCID 0000-0001-9889-9760
Hong XuCollege of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
Daming WuCollege of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China.ORCID 0000-0002-7264-2155
Dong WuCollege of Engineering Science, University of Science and Technology of China, Hefei 230027, China.
Xiaolong GaoCollege of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China.

Funding

the Fundamental Research Funds for the Central Universities JD2111the Opening Foundation of State Key Laboratory of Organic-Inorganic Composites (Beijing University of Chemical Technology) oic-202101003
6 · The paper itself

Abstract

In recent years, superhydrophobic surfaces have attracted significant attention due to their promising applications, especially in ice prevention, reduction in air resistance, and self-cleaning. This study utilizes femtosecond laser processing technology to prepare different surface microstructures on polytetrafluoroethylene (PTFE) surfaces. Through experiments, it investigates the relationship between the solid-liquid contact ratio and surface hydrophobicity. The shape of water droplets on different microstructure surfaces is simulated using ANSYS, and the relationship between surface microstructures and hydrophobicity is explored in the theoretical model. A superhydrophobic surface with a contact angle of up to 166° was obtained by machining grooves with different spacings in polytetrafluoroethylene sheets with femtosecond laser technology. Due to the micro- and nanostructures on the surface, the oleophobicity of the processed oleophilic PTFE surface is enhanced.

Indexed as

femtosecond laser processingmicro- and nano-fabricationpolytetrafluoroethylenesuperhydrophobicity

Identifiers

PMID38201708
PMCPMC10780796

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.