Evidence map›Paper›PMID 36904672›Full record

ArticleSensors (Basel, Switzerland)2023

A Method for Detecting the Vacuum Degree of Vacuum Glass Based on Digital Holography.

Ting Li, Qinghe Song, Guangjun He, Haiting Xia, Haoxiang Li, Jinbin Gui, Haining Dang

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Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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.

Ting LiFaculty of Science, Kunming University of Science and Technology, Kunming 650500, China.
Qinghe SongFaculty of Science, Kunming University of Science and Technology, Kunming 650500, China.
Guangjun HeFaculty of Science, Kunming University of Science and Technology, Kunming 650500, China.ORCID 0000-0002-7631-1601
Haiting XiaYunnan Key Laboratory of Disaster Reduction in Civil Engineering, Kunming 650500, China.ORCID 0000-0001-9512-1283
Haoxiang LiFaculty of Science, Kunming University of Science and Technology, Kunming 650500, China.ORCID 0000-0001-9531-8561
Jinbin GuiFaculty of Science, Kunming University of Science and Technology, Kunming 650500, China.
Haining DangFaculty of Science, Kunming University of Science and Technology, Kunming 650500, China.

Funding

National Natural Science Foundation of China 11862008National Natural Science Foundation of China 62065010National Natural Science Foundation of China 62165007
6 · The paper itself

Abstract

The vacuum degree is the key parameter reflecting the quality and performance of vacuum glass. This investigation proposed a novel method, based on digital holography, to detect the vacuum degree of vacuum glass. The detection system was composed of an optical pressure sensor, a Mach-Zehnder interferometer and software. The results showed that the deformation of monocrystalline silicon film in an optical pressure sensor could respond to the attenuation of the vacuum degree of vacuum glass. Using 239 groups of experimental data, pressure differences were shown to have a good linear relationship with the optical pressure sensor's deformations; pressure differences were linearly fitted to obtain the numerical relationship between pressure difference and deformation and to calculate the vacuum degree of the vacuum glass. Measuring the vacuum degree of vacuum glass under three different conditions proved that the digital holographic detection system could measure the vacuum degree of vacuum glass quickly and accurately. The optical pressure sensor's deformation measuring range was less than 4.5 μm, the measuring range of the corresponding pressure difference was less than 2600 pa, and the measuring accuracy's order of magnitude was 10 pa. This method has potential market applications.

Indexed as

digital holographyoptical pressure sensorvacuum degreevacuum glass

Identifiers

PMID36904672
PMCPMC10007332

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