Shearography for non-destructive testing of specular reflecting objects using scattered light illumination

Yan, Ping; Wang, Yonghong; Sun, Fangyuan; Lu, Yu; Liu, Lu; Zhao, Qihan

doi:10.1016/j.optlastec.2018.11.029

Cited by 19 publications

(6 citation statements)

References 23 publications

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“…DSSPI, also known as shearography, is used for high-precision, nondestructive measurement of surface deformation. It has gained widespread industrial acceptance for nondestructive testing [26,27]. Figure 1 illustrates the schematic diagram of the DSSPI system, which captures speckle fringe patterns.…”

Section: Dsspimentioning

confidence: 99%

A Vision-Based Bolt Looseness Detection Method for a Multi-Bolt Connection

Deng,

Sa,

et al. 2024

Applied Sciences

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Many vision-based bolt looseness detection methods that directly observe the bolts have been developed. However, these methods have many limitations in terms of the conditions and processes of their implementation. To address these problems, this paper proposed a fully automated vision-based bolt looseness detection method for a rigid multi-bolt connection. The proposed method combines digital shearing speckle pattern interferometry (DSSPI) and recurrent neural network (RNN) and involves capturing speckle fringe patterns under various looseness cases using the DSSPI system and classifying these patterns with an RNN model to detect the loose bolts. The proposed method can detect all the bolts within the measured surface at one time, which is efficient. On the other hand, it eliminates the need for prior information such as the initial angle and position of each bolt. It can even detect unseen bolts in multi-bolt connections, making it applicable for connections in complex structures in which occlusion often occurs. Additionally, the method eliminates the complex process of distortion rectification. These features make the method achieve a single-judgment time (four bolts at one detection) of only 4.70 millisecond with a detection accuracy over 99%, which has potential for the real-time detection of loose bolts in multi-bolt connections.

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Section: Dsspimentioning

confidence: 99%

A Vision-Based Bolt Looseness Detection Method for a Multi-Bolt Connection

Deng,

Sa,

et al. 2024

Applied Sciences

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“…However, there are some limitations. First, the method is not able to access deformations and defects inside the material [19]. Secondly, the method suffers from a low signal-to-noise ratio, which represents a hindrance to an accurate evaluation.…”

Section: Laser Shearography (Ls)mentioning

confidence: 99%

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

et al. 2021

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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.

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“…In 2014, Xu et al proposed a new shearographic setup to achieve measurement for a specular surface material [51] in which a rough plane M is embedded into the optical path to produce the speckle pattern required for shearographic measurement. In 2018, Yan et al improved the shearographic optical path of specular surfaces [52]. The rough surface was placed at the front portion of the optical path to improve the problem of the flaw location on the phase map being shifted when the area has high local slope.…”

Section: Shearographic Ndt On Specular Surface Materialsmentioning

confidence: 99%

Digital Shearography for NDT: Phase Measurement Technique and Recent Developments

et al. 2018

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Composite materials have seen widespread use in the aerospace industry and are becoming increasingly popular in the automotive industry due to their high strength and low weight characteristics. The increasing usage of composite materials has resulted in the need for more effective techniques for nondestructive testing (NDT) of composite structures. Of these techniques, digital shearography is one the most sensitive and accurate methods for NDT. Digital shearography can directly measure strain with high sensitivity when combined with different optical setups, phase-shift techniques, and algorithms. Its simple setup and less sensitivity to environmental disturbances make it particularly well suited for practical NDT applications. This paper provides a review of the phase measurement technique and recent developments in digital shearographic NDT. The introduction of new techniques has expanded the range of digital shearography applications and made it possible to measure larger fields and detect more directional or deeper defects. At the same time, shearography for different materials is also under research, including specular surface materials, metallic materials, etc. Through the discussion of recent developments, the future development trend of digital shearography is analyzed, and the potentials and limitations are demonstrated.

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Shearography for non-destructive testing of specular reflecting objects using scattered light illumination

Cited by 19 publications

References 23 publications

A Vision-Based Bolt Looseness Detection Method for a Multi-Bolt Connection

A Vision-Based Bolt Looseness Detection Method for a Multi-Bolt Connection

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

Digital Shearography for NDT: Phase Measurement Technique and Recent Developments

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