Terahertz Imaging for Aerospace Applications

K. M., A. Rao, Kishan Kumar, T. Rao
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Abstract

Terahertz (THz) Imaging has gained significant importance in the past few decades owing to the unique properties of THz radiation. In this paper, we use image processing algorithms on THz images to automate the process of manually analyzing the image for the detection of faults in aircraft composites as we intend to simplify the non-destructive evaluation of samples under inspection. THz images of a propagating crack in a concrete block taken at different frequencies are analyzed to measure the intensity of deformation. Further, THz image samples of aircraft panels are used to investigate common faults such as air cavities (voids), debonding, delamination, mechanical damage, and burn effects. The proposed algorithm's prediction on the intensity of deformation is compared with the actual values to demonstrate the potential of image processing in non-destructive evaluation. We also discuss a few methods to manipulate the THz image for the accurate detection of faults.
航天应用太赫兹成像
由于太赫兹辐射的独特特性,在过去的几十年里,太赫兹成像已经变得非常重要。在本文中,我们使用太赫兹图像的图像处理算法来自动化人工分析图像的过程,以检测飞机复合材料中的故障,因为我们打算简化对检测样品的无损评估。分析了在不同频率下混凝土块体中裂纹扩展的太赫兹图像,以测量变形强度。此外,飞机面板的太赫兹图像样本用于调查常见故障,如空腔(空洞)、脱粘、分层、机械损伤和燃烧效应。将该算法对变形强度的预测值与实际值进行了比较,以证明图像处理在无损评价中的潜力。我们还讨论了几种处理太赫兹图像以准确检测故障的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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