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Model-based autonomous plate defects visualization method for quantitative wall-thinning estimation
Ultrasonics ( IF 3.8 ) Pub Date : 2021-07-27 , DOI: 10.1016/j.ultras.2021.106541
To Kang 1 , Seong-Jin Han 2 , Seongin Moon 1 , Soonwoo Han 1 , Kyung-Mo Kim 1
Affiliation  

The visualization of the wall thinning of plate-like structures using scanning laser Doppler vibrometry (SLDV) is a promising method in nondestructive evaluation using laser ultrasonics. In particular, the Lamb-wave-based SLDV method that uses continuous excitation exhibits excellent performance for the estimation of the wall thinning of plates. Currently, plate thickness is quantitatively evaluated based on wavenumber analysis using measured signals. However, it is difficult to estimate plate thickness automatically below the product of frequency and thickness of 6 MHz·mm without knowing the wavenumber sensitivity and minimum wavenumber distance from reference mode owing to the lack of the physical understanding of Lamb waves. In this study, a model-based autonomous plate defects visualization method is proposed for the quantitative imaging of the wall thinning of plates so that inspectors can use scanning laser Doppler vibrometry (SLDV) without any knowledge of Lamb waves and its signal processing. Interdigital-transducer-based SLDV is utilized to validate the proposed method, and a 6-mm-thick carbon steel plate with 1–8% wall thinning, and a 2-mm-thick aluminum plate with Y-shaped wall thinning are used. Experiments demonstrate that the capability of the proposed method for detecting wall thinning in plates is equivalent to that of manual plate defects visualization method.



中文翻译:

基于模型的自主板缺陷可视化方法用于定量壁减薄估计

使用扫描激光多普勒振动测量法 (SLDV) 对板状结构壁变薄的可视化是使用激光超声波进行无损评估的一种很有前途的方法。特别是,使用连续激励的基于兰姆波的 SLDV 方法在估计板壁减薄方面表现出优异的性能。目前,板厚是基于使用测量信号的波数分析来定量评估的。然而,由于缺乏对兰姆波的物理理解,在不知道波数灵敏度和与参考模式的最小波数距离的情况下,很难在6 MHz·mm的频率与厚度的乘积以下自动估算板厚。在这项研究中,提出了一种基于模型的自主板缺陷可视化方法,用于板壁减薄的定量成像,以便检查员可以使用扫描激光多普勒振动测量法 (SLDV),而无需了解兰姆波及其信号处理。基于叉指换能器的 SLDV 被用来验证所提出的方法,并使用 6 毫米厚的碳钢板和 1-8% 的壁厚减薄,以及 2 毫米厚的铝板和 Y 形壁厚减薄。实验表明,所提出的检测板壁减薄方法的能力与手动板缺陷可视化方法的能力相当。基于叉指换能器的 SLDV 被用来验证所提出的方法,并使用 6 毫米厚的碳钢板和 1-8% 的壁厚减薄,以及 2 毫米厚的铝板和 Y 形壁厚减薄。实验表明,所提出的检测板壁减薄方法的能力与手动板缺陷可视化方法的能力相当。基于叉指换能器的 SLDV 被用来验证所提出的方法,并使用 6 毫米厚的碳钢板和 1-8% 的壁厚减薄,以及 2 毫米厚的铝板和 Y 形壁厚减薄。实验表明,所提出的检测板壁减薄方法的能力与手动板缺陷可视化方法的能力相当。

更新日期:2021-08-07
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