In-Situ Quantitative Monitoring of Crack Propagation with Flexible Eddy Current Sensor

doi:10.7652/xjtuxb202109011

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In-Situ Quantitative Monitoring of Crack Propagation with Flexible Eddy Current Sensor

更新时间：2025-07-09

- In-Situ Quantitative Monitoring of Crack Propagation with Flexible Eddy Current Sensor
- Vol. 55, Issue 9, Pages: 97-104(2021)
- 作者机构：
  
  空军工程大学航空工程学院,西安,710038
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb202109011
  CLC： V215.6;TP212.1
- Online First：10 September 2021，
  
  Published：2021
- 稿件说明：
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In-Situ Quantitative Monitoring of Crack Propagation with Flexible Eddy Current Sensor[J]. 2021, 55(9): 97-104.
DOI：

In-Situ Quantitative Monitoring of Crack Propagation with Flexible Eddy Current Sensor[J]. 2021, 55(9): 97-104. DOI： 10.7652/xjtuxb202109011.

摘要

针对传统柔性涡流阵列传感器感应通道数多、裂纹监测深度低等不足

提出了一种基于隧道磁阻(TMR)传感器的柔性涡流传感器

实现了结构表面和亚表面裂纹的定量监测

且有效减少了感应通道数。通过模拟不同深度裂纹扩展的方法

验证了采用TMR传感器测量y轴磁场分量进行裂纹定量监测具有较好的效果; 通过建立二维有限元模型

分析了不同激励频率对涡流分布和裂纹识别灵敏度的影响。实验结果显示:对于表面裂纹的监测

基于隧道磁阻传感器的柔性涡流传感器具有良好的定量监测效果

且裂纹监测灵敏度随着激励频率增加而增大

激励频率从1 kHz增加到5 kHz时

裂纹识别灵敏度从108.41%增加至741.64%; 对于2 mm以下的亚表面裂纹

在激励频率为1 kHz时

对裂纹定量监测效果不明显

通过增加激励频率可以改善裂纹监测效果并提高裂纹监测灵敏度; 传感器的裂纹监测精度为5 mm

与激励线条之间的间距一致。该研究成果有效地减少了感应单元数

并解决了深层裂纹定量监测问题。

Abstract

Aiming at the disadvantages of traditional flexible eddy current array sensors such as large number of sensing channels and low crack monitoring depth

a tunnel magnetoresistance(TMR)flexible eddy current array sensor(TMR-FECA)with less induction channels is proposed to quantitatively monitor structural surface and subsurface cracks. Simulation experiments on the propagation of cracks in different depths verify that the method of using TMR sensor to measure the y-axis magnetic field component has a better quantitative crack monitoring effect. Through 2-D finite element model established by Comsol software

the effects of different excitation frequencies on the eddy current distribution and the sensitivity of crack identification are analyzed. The experimental results show that the TMR-FECA has good quantitative monitoring effect for surface crack monitoring

and the sensitivity of crack monitoring increases with the excitation frequency. As the excitation frequency increases from 1 kHz to 5 kHz

the crack identification sensitivity increases from 108.41% to 741.64%. For the subsurface cracks 2 mm beneath the surface

when the excitation frequency is 1 kHz

the quantitative crack monitoring effect is not obvious

but the quantitative crack monitoring effect and the sensitivity of crack monitoring can be improved by increasing the excitation frequency. The crack monitoring accuracy of the sensor is 5 mm

which is consistent with the spacing between the excitation lines. This technique can effectively reduce the number of induction units and solve the quantitative monitoring problem of deep cracks.

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