Comparison of Morphology Characterization for Regular Cracks with Multi-mode Total Focusing Method

Jin, Shouwen; Liu, Chen-fei; Shi, Siqi; Luo, Zhongbing; Wang, Chu; Liu, Lin

doi:10.1109/fendt47723.2019.8962560

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…Through the analysis of the acoustic-field distribution in the imaging area, it can be known that each channel datum corresponds to an isochronous line with an equal sound intensity distribution for each imaging point. The isochronous line with an intensity higher than the threshold is called the effective isochronous line [21,22]. If the number of times the effective isochronous line is superimposed on the imaging point is less than a certain proportion of the total superimposed times, the point is judged to be a non-defective point.…”

Section: Equivalent-path-length Pseudo-echoes Dynamic Eliminationmentioning

confidence: 99%

“…It should be noted that the mainstream ultrasound data post-processing technologies currently mainly focus on known defects, while the complexity of defect situations in practical engineering and unknown information make defects prone to false alarms and missed detections, leading to a decrease in algorithm applicability and unsatisfactory imaging results [21,22]. Based on the above issues, it is necessary to optimize and improve defect-imaging algorithms for actual inspection structures.…”

Section: Introductionmentioning

confidence: 99%

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Defect Detection Algorithm for Wing Skin with Stiffener Based on Phased-Array Ultrasonic Imaging

Shan³

et al. 2023

Sensors

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In response to the real-time imaging detection requirements of structural defects in the R region of rib-stiffened wing skin, a defect detection algorithm based on phased-array ultrasonic imaging for wing skin with stiffener is proposed. We select the full-matrix–full-focusing algorithm with the best imaging quality as the prototype for the required detection algorithm. To address the problem of poor real-time performance of the algorithm, a sparsity-based full-focusing algorithm with symmetry redundancy imaging mode is proposed. To address noise artifacts, an adaptive beamforming method and an equal-acoustic-path echo dynamic removal scheme are proposed to adaptively suppress noise artifacts. Finally, within 0.5 s of imaging time, the algorithm achieves a detection sensitivity of 1 mm and a resolution of 0.5 mm within a single-frame imaging range of 30 mm × 30 mm. The defect detection algorithm proposed in this paper combines phased-array ultrasonic technology and post-processing imaging technology to improve the real-time performance and noise artifact suppression of ultrasound imaging algorithms based on engineering applications. Compared with traditional single-element ultrasonic detection technology, phased-array detection technology based on post-processing algorithms has better defect detection and imaging characterization performance and is suitable for R-region structural detection scenarios.

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Section: Equivalent-path-length Pseudo-echoes Dynamic Eliminationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Defect Detection Algorithm for Wing Skin with Stiffener Based on Phased-Array Ultrasonic Imaging

Shan³

et al. 2023

Sensors

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Ultrasonic Testing of Fatigue Cracks in Aluminum Alloy Based on Orthogonal Matching Pursuit and Particle Swarm Optimization

Yang,

Tian,

Luo

et al. 2023

2023 IEEE Far East NDT New Technology &Amp;amp; Application Forum (FENDT)

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Visualizing Defects of Irregular Weld Seams Based on MultiMode TFM Detection

Wang,

Zhang,

Zhou

et al. 2024

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An image reconstruction method based on the multimode total focusing method (MTFM) is proposed to overcome the limitations of traditional total focusing method (TFM) imaging in detecting tiny discontinuities at complex locations. We conducted MTFM detection and TFM image reconstruction experiments for irregular welds containing multiple discontinuities. In an experiment using four 1 mm diameter manufactured defects fabricated on two aluminum alloy welded test blocks, we achieved two significant contributions. First, we accurately detected small discontinuities by combining CIVA simulation with robotic arm assistance. Second, we proposed fusion factor coefficients for TFM image processing, which considered different modal weights for image fusion and de-noising, thereby preserving the integrity of the fused images. Our experimental results demonstrate that the reconstructed TFM images effectively represented all defect information. Compared with other modal TFM images with the highest signal-to-noise ratio (SNR), the amplitude-corrected optimized TFM image exhibits an improved SNR of 51.95% without losing defect information.

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Comparison of Morphology Characterization for Regular Cracks with Multi-mode Total Focusing Method

Cited by 3 publications

References 15 publications

Defect Detection Algorithm for Wing Skin with Stiffener Based on Phased-Array Ultrasonic Imaging

Defect Detection Algorithm for Wing Skin with Stiffener Based on Phased-Array Ultrasonic Imaging

Ultrasonic Testing of Fatigue Cracks in Aluminum Alloy Based on Orthogonal Matching Pursuit and Particle Swarm Optimization

Visualizing Defects of Irregular Weld Seams Based on MultiMode TFM Detection

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