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Defect imaging and characterization in composite structures using near-field microwave nondestructive testing techniques

机译:使用近场微波无损检测技术的复合结构缺陷成像和表征

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摘要

The use of composites as building materials in different industries, aircrafts, cars, ships, buildings, bridges, etc., is rapidly growing. Composite structures become weaker than expected due to the presence of an inhomogeneity or a disbond within their layers. The presence of these defects can cause catastrophic results unless their presence is detected and their effects are assessed. Microwave nondestructive imaging techniques have several unique attributes which make them attractive for inspecting composite structures. Near-field microwave imaging is based on transmitting a wave into a dielectric structure, which is located in the near-field of a sensor, and using a signal proportional to the magnitude or phase of the transmitted or reflected wave to create a two or three dimensional image of the structure under investigation. To analyze the features and properties of an experimental image, it is important to form and optimize the image theoretically before application. In this paper, we will present the image formation model and illustrate its potential on optimizing the detection capability of subsurface inclusions in multi-layered composites.
机译:在不同行业,飞机,汽车,轮船,建筑物,桥梁等中,复合材料作为建筑材料的使用正在迅速增长。复合结构由于其层内存在不均匀性或脱粘而变得比预期的要弱。这些缺陷的存在会导致灾难性的后果,除非检测到它们的存在并评估其影响。微波非破坏性成像技术具有几个独特的属性,这使其对检查复合结构具有吸引力。近场微波成像基于将波传输到位于传感器近场中的介电结构中,并使用与传输或反射波的大小或相位成比例的信号来产生两个或三个正在调查的结构的三维图像。为了分析实验图像的特征和特性,重要的是在应用之前理论上形成和优化图像。在本文中,我们将介绍图像形成模型并说明其在优化多层复合材料中地下杂质检测能力方面的潜力。

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