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A Past, Present, and Prospective Review on Microwave Nondestructive Evaluation of Composite Coatings

机译:复合涂料微波无损评估的过去,呈现和预期综述

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Recent years have witnessed an increase in the use of composite coatings for numerous applications, including aerospace, aircraft, and maritime vessels. These materials owe this popularity surge to the superior strength, weight, stiffness, and electrical insulation they exhibit over conventional substances, such as metals. The growing demand for such materials is accompanied by the inevitable need for fast, accurate, and affordable nondestructive testing techniques to reveal any possible defects within the coatings or any defects under coating. However, typical nondestructive testing (NDT) techniques such as ultrasonic testing (UT), infrared thermography (IRT), eddy current testing (ECT), and laser shearography (LS) have failed to provide successful results when inspecting composite coatings. Consequently, microwave NDT techniques have emerged to compensate for the shortcomings of traditional NDT approaches. Numerous microwave NDT methods have been reported for composite coatings inspection. Although existing microwave NDT methods have shown successful inspection of composite coatings, they often face several challenges, such as low spatial image quality and extensive data interpretation. Nevertheless, many of these limitations can be addressed by utilizing microwave NDT techniques with modern technologies such as soft computing. Artificially intelligent techniques have greatly enhanced the reliability and accuracy of microwave NDT techniques. This paper reviews various traditional NDT techniques and their limitations in inspecting composite coatings. In addition, the article includes a detailed review of several microwave NDT techniques and their benefits in evaluating composite coatings. The paper also highlights the advantages of using the recently reported microwave NDT approaches employing artificial intelligence approaches. This review demonstrates that microwave NDT techniques in conjunction with artificial intelligence approaches have excellent prospects for further enhancing composite coatings inspection and assessment efficiency. The review aimed to provide the reader with a comprehensive overview of most NDT techniques used for composite materials alongside their most salient features.
机译:近年来目睹了使用复合涂料的增加,包括众多应用,包括航空航天,飞机和海运船。这些材料对常规物质(如金属)表现出的优越强度,重量,刚度和电绝缘材料。对这种材料的需求不断增长伴随着不可避免的快速,准确,实惠的无损检测技术,以揭示涂层内的任何可能的缺陷或涂层下的任何缺陷。然而,典型的非破坏性测试(NDT)技术,如超声波检测(UT),红外热成像(IRT),涡流测试(ECT)和激光沉剪(LS)未能在检查复合涂层时提供成功的结果。因此,已经出现了微波NDT技术来弥补传统NDT方法的缺点。据报道了许多微波NDT方法进行复合涂料检查。尽管现有的微波NDT方法显示了复合涂层的成功检查,但它们经常面临几种挑战,例如低空间图像质量和广泛的数据解释。然而,通过利用具有现代技术(如软计算)的微波NDT技术,可以解决许多这些限制。人工智能技术极大地提高了微波NDT技术的可靠性和准确性。本文审查了各种传统的NDT技术及其在检查复合涂层时的局限性。此外,本文还包括对几种微波NDT技术的详细审查及其在评估复合涂层中的益处。本文还强调了使用近期报道的微波NDT方法采用人工智能方法的优点。该评论表明,微波NDT技术与人工智能方法结合,具有出色的前景,以进一步增强复合涂料检测和评估效率。审查旨在为读者提供全面概述最突出的复合材料的大多数NDT技术。

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