Chung Yoonjae, Kim Chunyoung, Kang Seongmin, Kim Wontae, Suh Hyunkyu
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.
Sensors (Basel). 2025 Mar 21;25(7):1969. doi: 10.3390/s25071969.
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.
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。