Evidence map›Paper›PMID 37177522›Full record

ArticleSensors (Basel, Switzerland)2023

A Liquid Metal Temperature Detection System Based on Multi-Node Sapphire Fiber Sensor.

Gao Wang, Chengyuan Qian, Peng Sun, Zhiling Li, Guofeng Chen, Bingyin Wang, Hanchang Zhou, Junzhi Yu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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

8 authors.

Gao WangState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Chengyuan QianInner Mongolia Power Machinery Institute, Hohhot 010010, China.
Peng SunState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Zhiling LiSchool of Information and Communication Engineering, North University of China, Taiyuan 030051, China.
Guofeng ChenInner Mongolia Power Machinery Institute, Hohhot 010010, China.
Bingyin WangInner Mongolia Power Machinery Institute, Hohhot 010010, China.
Hanchang ZhouState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Junzhi YuDepartment of Advanced Manufacturing and Robotics, College of Engineering, Peking University, Beijing 100871, China.ORCID 0000-0002-6347-572X

Funding

Fundamental Research Program of Shanxi Province 20210302123068National Natural Science Foundation of China 62105305 and T2121002
6 · The paper itself

Abstract

In order to accurately detect the temperature of molten aluminum and overcome the adverse influence of high temperature and corrosiveness on the sensing results, a temperature detection system based on a multi-node sapphire fiber sensor was proposed and developed. Through the structural parameter design of the fiber sensor, the scheme of utilizing the 0.7 mm diameter fiber and 0.5 mm groove was formulated. Simulation and analysis were carried out to determine the ultrasonic response distribution of the signal passing through the whole fiber sensor. The results indicate that the system is capable of distinguishing test signals from various positions and temperatures. Following the completion of the static calibration, the temperature of the molten aluminum was observed in real-time, and the data of the temperature measurements conducted at the two groove locations were compared. According to the obtained results, the test accuracy was greater than 1 degree Celsius and the temperature test stability was good, laying a solid foundation for the potential development of temperature measurement devices.

Indexed as

aluminum liquidsapphire fiberultrasonic temperature measurement

Identifiers

PMID37177522
PMCPMC10181434

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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.