Flexible Differential Butterfly-Shape Eddy Current Array Sensor for Defect Detection of Screw Thread

She, Saibo; Liu, Youzhi; Zhang, Shijing; Wen, Yizhang; Zhou, Zhongji; Liu, Xiaoke; Sui, Zihao; Ren, Dantong; Zhang, Fan; He, Yunze

doi:10.1109/jsen.2021.3093550

Cited by 27 publications

(6 citation statements)

References 27 publications

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“…However, due to the complexity and size of 3D datasets compared to 2D image data, machine vision-based methods typically only involve processing 2D image data, allowing for faster data processing and analysis speeds, enabling real-time detection. The approach presented in reference [ 8 ] measures the maximum defect size in the measured area in this paper. While flexible eddy current detection demonstrates high accuracy, machine vision is widely applicable, not limited to metal materials, and can be applied to defect detection in various materials such as plastics, textiles, ceramics, and more.…”

Section: Discussionmentioning

confidence: 99%

“…Yet, for parts with complex or non-standard thread shapes, it may be necessary to create multiple templates, increasing the system’s complexity and computational demands. Utilizing novel arrayed differential flexible eddy current sensors [ 8 ], defects on the surface of iron threads can be detected, but the detection effectiveness for non-metallic materials is limited, and the performance of eddy current sensors may be influenced by the conductivity of the test materials. Through digital image processing techniques [ 9 ], OTPG can standardize and segment internal thread images, further assessing their quality.…”

Section: Introductionmentioning

confidence: 99%

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Internal thread defect detection system based on multi-vision

Dou,

Xue,

Zhang

et al. 2024

PLoS ONE

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In the realm of industrial inspection, the precise assessment of internal thread quality is crucial for ensuring mechanical integrity and safety. However, challenges such as limited internal space, inadequate lighting, and complex geometry significantly hinder high-precision inspection. In this study, we propose an innovative automated internal thread detection scheme based on machine vision, aimed at addressing the time-consuming and inefficient issues of traditional manual inspection methods. Compared with other existing technologies, this research significantly improves the speed of internal thread image acquisition through the optimization of lighting and image capturing devices. To effectively tackle the challenge of image stitching for complex thread textures, an internal thread image stitching technique based on a cylindrical model is proposed, generating a full-view thread image. The use of the YOLOv8 model for precise defect localization in threads enhances the accuracy and efficiency of detection. This system provides an efficient and intuitive artificial intelligence solution for detecting surface defects on geometric bodies in confined spaces.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Internal thread defect detection system based on multi-vision

Dou,

Xue,

Zhang

et al. 2024

PLoS ONE

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“…Although ECSs have been widely applied in various industrial fields, further research has been devoted to the promotion of the accuracy and adaptability of sensors to satisfy higher requirements. Probes with different shapes, such as planar [ 10 ], rosette-like [ 11 ], butterfly-shaped [ 12 ], and flexible array [ 13 , 14 ] probes, have been developed to adapt to different situations. Planar coils allow increased sensitivity in the detection of micro-size defects, especially along the welded joints.…”

Section: Introductionmentioning

confidence: 99%

Coupling Interference between Eddy Current Sensors for the Radial Displacement Measurement of a Cylindrical Target

Zhang

et al. 2022

Sensors

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In the radial displacement measurement of a small-sized cylindrical target, coupling interference between eddy current sensors reduces the accuracy of the measurement. In this study, finite element method (FEM) simulation based on ANSYS Maxwell was adopted to investigate the relationships between the coupling coefficient of the sensors and different parameters including the lift-off, cylinder diameter, axis angle, material, and excitation frequency. The experimental results were consistent with the simulation results. With the decrease in the lift-off, interference between the sensors significantly increased. The coupling effect decreased significantly when the probe axis angle increased to 120°, and the decrease in the sensor sensitivity was acceptable. A polynomial fitting function fitted the output signal well. A compensation method was given based on the compensation necessity evaluation. The results showed that the error of the rotor motion track was significantly decreased after compensation.

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“…Lei Peng et al changed the connection angle between the two receiving coils to avoid the missing detection of defects caused by symmetry in the differential probe [44]. Saibo She et al designed an "H"-type differential flexible butterfly coil array to detect the thread defect and achieve no blind angle detection [45]. However, these studies focus more on the application aspects and ignore the influence of the shape change caused by the probe to the curved surface on the detection signal.…”

Section: Introductionmentioning

confidence: 99%

Effects of curvature radius on flexible eddy current array sensors for the curved surface of metal components

Deng

Pan³

et al. 2022

Front. Phys.

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The flexible eddy current array sensor owns the advantages of high sensitivity and strong adaptability, but the results are always affected by the curvature radius of complex curved surfaces. The relationship between the curvature radius of the curved surface and detection signals for surface-breaking cracks is mainly discussed. The change of magnetic field caused by the curved surface in the present eddy current testing is specially pointed out, which manifest themselves in the compression or enhancement of the testing signal in its peak value and the baseline drifts. Simulation and experimental results indicate that the concave surface weakens the signal, while the convex surface enhances the signal. The signal amplitude decreases with the decrease in the curvature radius for the concave surface, while it is the opposite for the convex surface. Meanwhile, coil spacing significantly affects the amplitude–curvature radius curve. Furthermore, the fluctuation characteristic affected by the curvature radius under different coil spacing is analyzed. The discovery and results will benefit the quantitative evaluation of flexible eddy current array testing.

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Flexible Differential Butterfly-Shape Eddy Current Array Sensor for Defect Detection of Screw Thread

Cited by 27 publications

References 27 publications

Internal thread defect detection system based on multi-vision

Internal thread defect detection system based on multi-vision

Coupling Interference between Eddy Current Sensors for the Radial Displacement Measurement of a Cylindrical Target

Effects of curvature radius on flexible eddy current array sensors for the curved surface of metal components

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