基于谐波涡流的金属管道缺陷检测

Yizhen Zhao, Xinhua Wang, Yingchun Chen, Haiyang Ju, Tao Zhang, Z. Ullah
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引用次数: 2

摘要

谐波涡流检测(HECT)是一种电磁无损检测方法,可以实现对金属管道缺陷的非接触检测。在多频率谐波激励作用下,金属管道会产生涡流。同时,由于缺陷的干扰,产生的涡流不均匀。为了有效地检测异常,本文建立了管道直径、探头升离高度与激励线圈角度之间的关系模型。通过有限元仿真研究了不同励磁线圈模型对磁场聚焦的影响,最终得到了谐波励磁线圈模型的最优结构。建立了实验平台,在管道顶部和左侧设计了圆孔、矩形槽和45度矩形槽三种缺陷类型。三轴隧道磁阻(TMR)传感器阵列采集谐波涡流磁场信号。通过多分辨率分析(MRA)去除干扰和原始激励信号的频段,选择有用的信号频段进行融合。将融合后的信号输入到双稳随机共振(SR)系统中,实现噪声能量传递,通过四阶龙格-库塔算法和尺度变换进行分析,增强管道缺陷处信号的能量。结果表明,所设计的谐波励磁线圈模型提高了管道两侧的励磁效果,扩大了管道探伤的覆盖范围。此外,本文提出的信号处理方法可以有效地提取管道缺陷信号,提高缺陷识别能力。上述研究对金属材料的非接触无损检测具有一定的指导意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Defect Detection of Metal Pipeline Based on Harmonic Eddy Current
Harmonic eddy current testing (HECT) is an electromagnetic non-destructive testing method, which can realize non-contact detection of metal pipeline defects. Eddy current will be produced at the metal pipeline affected by harmonic excitation with multiple frequencies. Meanwhile, the eddy current generated would be uneven due to the disturbance of the defects. In order to detect the abnormalities effectively, the relationship model among the diameter of the pipeline the lift-off height of the probe and the angle of excitation coils was established within this paper. The effect of the magnetic field focusing using different excitation coils models were studied by finite element simulation and the optimal structure of the harmonic excitation coils model was finally achieved. The experimental platform was established, and three types of defects were designed on the top and left side of the pipeline, including circular holes, rectangular grooves, and 45-degree rectangular grooves. The harmonic eddy current magnetic field signals were acquired by the 3-axis Tunnel Magneto-Resistance (TMR) sensors array. The frequency bands of interference and original excitation signal were removed by using Multi-Resolution Analysis (MRA), and thus, the useful signal frequency bands were selected for fusion. The fused signals were input into the bistable Stochastic Resonance (SR) system to realize the noise energy transfer, which was analyzed by the fourth-order Runge-Kutta algorithm and the scale transformation, so as to enhance the energy of the signals at the pipeline defects. The results show that the designed harmonic excitation coils model improves the excitation effect of both sides of the pipeline and expands the coverage of the flaw detection of the pipeline. Besides, the signal processing method proposed within this paper can extract the pipeline defects signal effectively and improve the ability of defects identification. The above research can be helpful on the non-contact non-destructive testing of metallic materials.
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