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基于补偿的全场热均匀化用于长脉冲热成像中的对比度增强

Compensation-Based Full-Filed Thermal Homogenization for Contrast Enhancement in Long Pulse Thermographic Imaging.

作者信息

Chung Yoonjae, Kim Chunyoung, Kang Seongmin, Kim Wontae, Suh Hyunkyu

机构信息

Eco-Sustainable Energy Research Institute, Kongju National University, 1223-24 Cheonan-daero, Seobuk-gu, Cheonan-si 31080, Republic of Korea.

enesG Co., Ltd. 8, Techno 10-ro, Yuseong-gu, Daejeon 34026, Republic of Korea.

出版信息

Sensors (Basel). 2025 Mar 21;25(7):1969. doi: 10.3390/s25071969.

Abstract

Non-destructive testing (NDT) plays a crucial role in ensuring the structural integrity and safety of industrial facilities and components. Long pulse thermography (LPT), a form of active thermographic testing (ATT), has gained attention for its ability to detect subsurface defects efficiently. However, non-uniform thermal excitation and environmental noise often degrade the accuracy of defect detection. This study proposes an advanced thermographic inspection technique incorporating a halogen array (HA) lamp and a compensation methodology to enhance the reliability of defect detection. Two compensation methods, namely absolute temperature compensation (ATC) and temperature rate compensation (TRC), were developed to correct non-uniform thermal loads and improve the defect contrast. Experimental validation was conducted on A-type and B-type mock-up specimens with artificial subsurface defects (10-90% depth). The results demonstrated a significant enhancement in the signal-to-noise ratio (SNR), reaching up to a 42 dB improvement in severe defects. Furthermore, a quantitative evaluation method was proposed using SNR-based defect depth estimation models, improving the accuracy of defect sizing. This approach eliminates the need for complex amplitude and phase transformations, enabling direct defect assessment from temperature thermograms.

摘要

无损检测(NDT)在确保工业设施和部件的结构完整性与安全性方面发挥着关键作用。长脉冲热成像(LPT)作为主动热成像检测(ATT)的一种形式,因其能够高效检测表面下缺陷的能力而受到关注。然而,不均匀的热激励和环境噪声常常会降低缺陷检测的准确性。本研究提出了一种先进的热成像检测技术,该技术结合了卤素阵列(HA)灯和一种补偿方法,以提高缺陷检测的可靠性。开发了两种补偿方法,即绝对温度补偿(ATC)和温度速率补偿(TRC),以校正不均匀的热负荷并提高缺陷对比度。对带有表面下人工缺陷(深度为10 - 90%)的A型和B型模拟试样进行了实验验证。结果表明,信噪比(SNR)有显著提高,在严重缺陷情况下提高了多达42 dB。此外,还提出了一种基于信噪比的缺陷深度估计模型的定量评估方法,提高了缺陷尺寸测量的准确性。这种方法无需复杂的幅度和相位变换,能够直接从温度热成像图进行缺陷评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d28c/11991320/85d9a6d97d2d/sensors-25-01969-g001.jpg

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