Defects Detection and Recognition in Aviation Riveted Joints by Using Ultrasonic Echo Signals of Non-Destructive Testing

Amosov, O.S.; Amosova, S.G.; Iochkov, Ilya Olegovich

doi:10.1016/j.ifacol.2021.08.056

Cited by 11 publications

(5 citation statements)

References 10 publications

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“…In this paper, a near-surface defect in a CHRJ was detected based on a high-frequency EMAT. Compared with Le [9] and Amosov [10]'s studies using PZTs, the most significant…”

Section: Discussionmentioning

confidence: 92%

“…In this paper, a near-surface defect in a CHRJ was detected based on a high-frequency EMAT. Compared with Le [9] and Amosov [10]'s studies using PZTs, the most significant feature of this study is the near-surface-defect detection in the CHRJ using an EMAT. Furthermore, Le and Amosov's studies only used PZTs for defect detection, without studying the principle of defect-echo generation.…”

Section: Discussionmentioning

confidence: 99%

“…Some scholars have utilized ultrasonic testing (UT) technology for the detection of defects in rivets in CHRJs. Le et al [9] and Amosov et al [10] used the ultrasonic-pulse-echo method with piezoelectric transducers (PZTs) for defect detection in rivets. However, all these scholars used piezoelectric transducers for detection.…”

Section: Introductionmentioning

confidence: 99%

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Near-Surface-Defect Detection in Countersunk Head Riveted Joints Based on High-Frequency EMAT

Zhang

Yang

et al. 2023

Materials

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Countersunk head riveted joints (CHRJs) are essential for the aerospace and marine industries. Due to the stress concentration, defects may be generated near the lower boundary of the countersunk head parts of CHRJs and require testing. In this paper, the near-surface defect in a CHRJ was detected based on high-frequency electromagnetic acoustic transducers (EMATs). The propagation of ultrasonic waves in the CHRJ with a defect was analyzed based on the theory of reflection and transmission. A finite element simulation was used to study the effect of the near-surface defect on the ultrasonic energy distribution in the CHRJ. The simulation results revealed that the second defect echo can be utilized for defect detection. The positive correlation between the reflection coefficient and the defect depth was obtained from the simulation results. To validate the relation, CHRJ samples with varying defect depths were tested using a 10-MHz EMAT. The experimental signals were denoised using wavelet-threshold denoising to improve the signal-to-noise ratio. The experimental results demonstrated a linearly positive correlation between the reflection coefficient and the defect depth. The results further showed that high-frequency EMATs can be employed for the detection of near-surface defects in CHRJs.

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“…In this paper, a near-surface defect in a CHRJ was detected based on a high-frequency EMAT. Compared with Le [9] and Amosov [10]'s studies using PZTs, the most significant…”

Section: Discussionmentioning

confidence: 92%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Near-Surface-Defect Detection in Countersunk Head Riveted Joints Based on High-Frequency EMAT

Zhang

Yang

et al. 2023

Materials

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“…Additionally, the level of automation and intelligence is low, and there is a lack of research on image recognition and detection. However, at the same time, ultrasonic image detection, recognition and segmentation technology has achieved some successful applications in other non-destructive testing directions 12,13,14 , and related research can also serve as a reference for the future development of oil tube ultrasonic testing. Zhang et al used neural network technology to classify defects in ultrasound B-scan images, and proposed UFDNASNet to achieve high accuracy and processing speed detection of defects in ultrasound images 15 .…”

Section: Related Workmentioning

confidence: 99%

Promptable model for premium connection sealing surface detection and segmentation

Yang,

Fan,

Tian

et al. 2024

Fifth International Conference on Computer Vision and Computational Intelligence (CVCI 2024)

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When applying the tubing ultrasonic testing technology to evaluate the contact condition of the metal-to-metal sealing surface of premium connection, it is necessary to judge the ultrasonic reflection amplitude image of the manual contact interface to observe whether there is sealing defect. At present, the images of phased array ultrasonic testing results usually require professionals to rely on technical knowledge to judge, the analysis has low efficiency and strong evaluation subjectivity. Therefore, there is an urgent need for an intelligent method to identify the location, range and type of sealing defects in ultrasonic images accurately and efficiently, so as assisting or replacing manual operations. Aiming at the problems of heavy reliance on data quality and inflexible segmentation effect during the process of identifying the sealing surface region using the original Mask R-CNN network, the approach described in this paper enhances the model by incorporating the Segment Anything Model(SAM) and employs prompts to guide the object detection model in generating masks that fulfill various criteria. Experiments show that the method adopted in this paper can not only correctly identify the sealing surface location, but also, compared with the original Mask R-CNN network model, it can output a segmentation mask that meets the demand according to the prompts of different segmentation criteria, and the obtained sealing surface region is closer to the theoretical segmentation region.

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“…Several different techniques are being used in order to examine the structural integrity of the manufactured parts. Amosov et al [1] performed ultrasonic testing on riveted joints in aviation construction, Deepak et al [2] compared different non-destructive inspection techniques to assess the quality of welded joints and Jasi ūnien ė et al [3] performed ultrasonic testing on complex titanium and carbon fiber composite joints. It is proven that non-destructive testing can offer a reliable inspection method in order to investigate the structural integrity of materials and joints.…”

Section: Introductionmentioning

confidence: 99%

Spot Weld Inspections Using Active Thermography

et al. 2022

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Spot welds have a significant part in the creation of automotive vehicles. Since the integrity of, for example, a car, is dependent on the performance of multiple welds, it is important to ensure the quality of each spot weld. Several attempts have been made in order to determine the quality of spot welds, but most of them do not focus on the applicability in the manufacturing process. Spot weld inspections are often performed using back heating. However, during manufacturing, robotic inspections are desired, and since the bodywork of a car is a complex shape, the accessibility from the inside of the vehicle is minor. Therefore, inspections using front heating are more suitable. In this manuscript, multiple excitation methods are compared as well as different post-processing techniques. The used excitation techniques can be divided into light heating and inductive heating. Light heating is further divided in lock-in thermography and pulse thermography. The used post-processing techniques are principle component analysis and fast Fourier transform. Inductive heating turns out to be the most suitable measurement technique since it is fast and can be performed as front and back heating. Both investigated post-processing techniques deliver suitable information, such as relief images and information of the internal structure of the spot weld.

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Defects Detection and Recognition in Aviation Riveted Joints by Using Ultrasonic Echo Signals of Non-Destructive Testing

Cited by 11 publications

References 10 publications

Near-Surface-Defect Detection in Countersunk Head Riveted Joints Based on High-Frequency EMAT

Near-Surface-Defect Detection in Countersunk Head Riveted Joints Based on High-Frequency EMAT

Promptable model for premium connection sealing surface detection and segmentation

Spot Weld Inspections Using Active Thermography

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