Abstract

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.

Highlights

  • Composite is a combination of two or more materials to attain properties that supersede those of the original substances

  • The results proved the superiority of Hilbert Huang transform (HHT) over the other methods in terms of its applicability to linear and non-linear transient signals

  • This review paper covers studies on nondestructive testing (NDT) testing techniques undertaken on composite materials

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Summary

Introduction

Composite is a combination of two or more materials to attain properties that supersede those of the original substances. NDT plays a significant part in the maintenance of the structural integrity of the system by enabling timely detection before critical damage occurs Each of these techniques has its advantages in its application, there are certain limitations in inspecting composite coatings due to poor signal penetration. Emerging soft computing techniques, such as signal processing development, have proved to address challenges [11,12,13]. The combination of microwave NDT techniques with artificial intelligence and signal processing techniques can overcome limitations and improve defect detection sensitivity. There has been little research into combining soft computing techniques with microwave NDT techniques, current efforts to hybridize them together have the potential to overcome the limitations. By processing the signal of microwave NDT techniques using soft computing approaches, the composites inspection results have demonstrated significant findings. The review aimed to provide the researchers and the engineers working in this field with a broader perspective on the possible action required for any material evaluation challenge

Conventional Inspection Methods
Limitations
Microwave Transmission Line Sensor
Horn Antenna
Signal Processing Development
Findings
Conclusions
Full Text
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