Evidence map›Paper›PMID 35457937›Full record

ArticleMicromachines2022

Optical Fiber-Based Continuous Liquid Level Sensor Based on Rayleigh Backscattering.

Xingqiang Chi, Xiangjun Wang, Xuan Ke

Abstract read
In one paragraph

Article in Micromachines, 2022. 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

3 authors.

Xingqiang ChiCollege of Electrical Engineering, Naval University of Engineering, Wuhan 430033, China.ORCID 0000-0002-4230-1587
Xiangjun WangCollege of Electrical Engineering, Naval University of Engineering, Wuhan 430033, China.
Xuan KeSchool of Physics and Information Engineering, Jianghan University, Wuhan 430056, China.

Funding

National Natural Science Foundation of China 41476153
6 · The paper itself

Abstract

This work reports an optical fiber-based continuous liquid level sensor for cryogenic propellant mass gauging, which has significant advantages over the existing liquid level sensors in terms of accuracy, simplicity, and reliability. Based on Rayleigh backscattering coherent optical frequency domain reflectometry, every point of the sensing fiber is a liquid sensor which is able to distinguish liquid and vapor. We obtained a measurement accuracy of 1 mm for the optical fiber sensor by measuring both liquid nitrogen and water levels. For the first time, for practical applications, we experimentally studied the influence of ambient temperature and strain changes on the sensing performance as well as the repeatability of the optical fiber-based liquid level sensor's measurements.

Indexed as

cryogenic propellantliquid level sensoroptical fiberRayleigh backscattering

Identifiers

PMID35457937
PMCPMC9027825

What OpenQuestion holds

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LicenceCC BY
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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.