低频低电流大范围长脉冲涡流/涡流脉冲压缩热成像检测实验研究

IF 5.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Measurement Pub Date : 2024-11-27 DOI:10.1016/j.measurement.2024.116329
Xiang-Tao Xiao , Jie Xia , Song Tang , Chunyan Kong , Liang Zhang
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引用次数: 0

摘要

高频大电流激励下的涡流脉冲热成像(ECPT)存在对检测对象造成不可修复损伤的危险。此外,严格禁止在易燃易爆环境中使用大电流励磁方式。为了克服这一局限性,在弱激励条件下工作的长脉冲涡流热像仪(lpct)和涡流脉冲压缩热像仪(ECPuCT)是两种合理的技术。低频(50 Hz)激励下的lpct实验表明,当电流为8.3 A时,可以检测到亚表面缺陷。实验结果表明,与lpct相比,13位巴克编码的ecpct可以进一步降低激励电流,提高缺陷检测信噪比。ECPuCT采用双线圈磁芯电感,可以有效检测大面积宽高比大于6的缺陷。这证实了pect和ECPuCT适用于高风险环境,如石化领域。
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Experiment study of long pulse eddy current / eddy current pulse-compression thermography detection on large area with low-frequency and low-current
Eddy current pulsed thermography (ECPT) excited by high-frequency and high-current is at risk of causing irreparable damage to the detection object. Furthermore, using a high-current excitation pattern in flammable and explosive environments is strictly prohibited. To cope with that limitation, long pulse eddy current thermography (LPECT) and eddy current pulse-compression thermography (ECPuCT), which work in weakened excitation conditions, are two reasonable technologies. The LPECT experiment in low-frequency (50 Hz) excitation shows that subsurface defects are detected when the current is 8.3 A. Compared with LPECT, the experiment results of 13-bit barker-coded ECPuCT show the possibility of further reducing the excitation current and improving the defect detection signal–noise ratio (SNR). With a two-coil magnetic core inductor, defects whose aspect ratio is over 6 in a large area are effectively detected by ECPuCT. That confirms LPECT and ECPuCT are suited for high-risk environments, such as the petrochemical field.
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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