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基于磁的光纤传感器检测钢管和储罐内部金属损失

Detection of Internal Metal Loss in Steel Pipes and Storage Tanks via Magnetic-Based Fiber Optic Sensor.

作者信息

Almahmoud Safieh, Shiryayev Oleg, Vahdati Nader, Rostron Paul

机构信息

Department of Mechanical Engineering, Khalifa University of Science and Technology, P.O. Box 2533, Abu Dhabi, UAE.

Chemistry Department, Khalifa University of Science and Technology, P.O. Box 2533, Abu Dhabi, UAE.

出版信息

Sensors (Basel). 2018 Mar 8;18(3):815. doi: 10.3390/s18030815.

DOI:10.3390/s18030815
PMID:29518006
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5876745/
Abstract

A monitoring solution was developed for detection of material loss in metals such as carbon steel using the force generated by permanent magnets in addition to the optical strain sensing technology. The working principle of the sensing system is related to the change in thickness of a steel plate, which typically occurs due to corrosion. As thickness decreases, the magnetostatic force between the magnet and the steel structure also decreases. This, in turn, affects the strain measured using the optical fiber. The sensor prototype was designed and built after verifying its sensitivity using a numerical model. The prototype was tested on steel plates of different thicknesses to establish the relationship between the metal thickness and measured strain. The results of experiments and numerical models demonstrate a strong relationship between the metal thickness and the measured strain values.

摘要

开发了一种监测解决方案,用于检测碳钢等金属中的材料损失,该方案除了利用光学应变传感技术外,还利用永磁体产生的力。传感系统的工作原理与钢板厚度的变化有关,这种变化通常是由腐蚀引起的。随着厚度减小,磁体与钢结构之间的静磁力也会减小。这反过来又会影响使用光纤测量的应变。在使用数值模型验证其灵敏度后,设计并制造了传感器原型。该原型在不同厚度的钢板上进行了测试,以建立金属厚度与测量应变之间的关系。实验和数值模型的结果表明,金属厚度与测量应变值之间存在密切关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d6/5876745/6f0ccce6c2f0/sensors-18-00815-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d6/5876745/c3c67be7cbf7/sensors-18-00815-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d6/5876745/6f071b30a216/sensors-18-00815-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d6/5876745/38af1e48cec6/sensors-18-00815-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d6/5876745/3103ead4a0b5/sensors-18-00815-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d6/5876745/83916b651474/sensors-18-00815-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d6/5876745/2f081c040077/sensors-18-00815-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d6/5876745/bfc31ef79d8a/sensors-18-00815-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d6/5876745/5dc7f5da3883/sensors-18-00815-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d6/5876745/7c7dc4c43171/sensors-18-00815-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d6/5876745/6f0ccce6c2f0/sensors-18-00815-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d6/5876745/c3c67be7cbf7/sensors-18-00815-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d6/5876745/6e85ad98d43e/sensors-18-00815-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d6/5876745/51234a3a62c3/sensors-18-00815-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d6/5876745/7cf46759a912/sensors-18-00815-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d6/5876745/81ae55e7a306/sensors-18-00815-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d6/5876745/6f071b30a216/sensors-18-00815-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d6/5876745/38af1e48cec6/sensors-18-00815-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d6/5876745/3103ead4a0b5/sensors-18-00815-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d6/5876745/83916b651474/sensors-18-00815-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d6/5876745/2f081c040077/sensors-18-00815-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d6/5876745/bfc31ef79d8a/sensors-18-00815-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d6/5876745/5dc7f5da3883/sensors-18-00815-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d6/5876745/7c7dc4c43171/sensors-18-00815-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d6/5876745/6f0ccce6c2f0/sensors-18-00815-g014.jpg

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