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用于轴承状态监测的双向智能传感器涂层设计规则

Design Rules of Bidirectional Smart Sensor Coating for Condition Monitoring of Bearings.

作者信息

Nguyen Van-Cuong, Le Minh-Quyen, Bernadet Sophie, Hebrard Yoann, Mogniotte Jean-François, Capsal Jean-Fabien, Cottinet Pierre-Jean

机构信息

LGEF, INSA-Lyon, EA682, University Lyon, 69621 Villeurbanne, France.

Arc en Ciel Sérigraphie, Z.I Le Forestier, 42630 Regny, France.

出版信息

Polymers (Basel). 2023 Feb 7;15(4):826. doi: 10.3390/polym15040826.

DOI:10.3390/polym15040826
PMID:36850110
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9966008/
Abstract

This paper reports a novel monitoring technique of bearings' bidirectional load (axial and radial) based on a smart sensor coating, which is screen printed onto the surface of a cross-shaped steel substrate. To ensure the accuracy and stability of measurement as well as the durability of the printed coating, the developed prototype is built according to design rules commonly used in electronic circuits. The finite element model (FEM) is used to predict the mechanical property of the tested substrate under either unidirectional or bidirectional loads. Regarding the output voltage of the piezoelectric sensor, experimental results are revealed to be well-corelated to the numerical simulation. It is pointed out that the output signal generated from the sensor (electrode) could be particularly affected due to the capacitive parasite coming from the conductive tracks (CTs). Such a phenomenon might be reduced by printing them on the dielectric layer rather than on the piezocomposite layer. The study also investigates a highly anisotropic shape of electrodes (rectangular instead of circle), indicating that the orientation of such electrodes (axial or radial) does affect the output measurement. To sum up, the high performance of a sensor network coating depends not only on the ultimate characteristics of its own materials, but also on its structural design. Such an issue has been rarely reported on in the literature, but is nonetheless crucial to achieving reliable condition monitoring of bearings, especially for multidirectional loads-a key signature of early failure detection.

摘要

本文报道了一种基于智能传感器涂层的轴承双向载荷(轴向和径向)监测新技术,该涂层通过丝网印刷在十字形钢基板表面。为确保测量的准确性和稳定性以及印刷涂层的耐久性,所开发的原型按照电子电路中常用的设计规则构建。有限元模型(FEM)用于预测测试基板在单向或双向载荷下的力学性能。关于压电传感器的输出电压,实验结果表明与数值模拟具有良好的相关性。指出传感器(电极)产生的输出信号可能会因来自导电轨道(CTs)的寄生电容而受到特别影响。通过将它们印刷在介电层而不是压电复合层上,这种现象可能会减少。该研究还研究了电极的高度各向异性形状(矩形而非圆形),表明这种电极的方向(轴向或径向)确实会影响输出测量。总之,传感器网络涂层的高性能不仅取决于其自身材料的最终特性,还取决于其结构设计。这样的问题在文献中很少被报道,但对于实现可靠的轴承状态监测至关重要,特别是对于多向载荷——早期故障检测的关键特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fed3/9966008/0373e6841b35/polymers-15-00826-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fed3/9966008/350a1768091e/polymers-15-00826-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fed3/9966008/ae8872f014ee/polymers-15-00826-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fed3/9966008/ef5fcb2b6d01/polymers-15-00826-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fed3/9966008/24308e48cdb6/polymers-15-00826-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fed3/9966008/dd3e1a60bc1b/polymers-15-00826-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fed3/9966008/0373e6841b35/polymers-15-00826-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fed3/9966008/350a1768091e/polymers-15-00826-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fed3/9966008/ae8872f014ee/polymers-15-00826-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fed3/9966008/ef5fcb2b6d01/polymers-15-00826-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fed3/9966008/24308e48cdb6/polymers-15-00826-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fed3/9966008/dd3e1a60bc1b/polymers-15-00826-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fed3/9966008/0373e6841b35/polymers-15-00826-g014.jpg

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