Defect Detection Algorithm for Wing Skin with Stiffener Based on Phased-Array Ultrasonic Imaging
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 bes...
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MDPI AG
2023-06-01
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Online Access: | https://www.mdpi.com/1424-8220/23/13/5788 |
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author | Chuangui Wu GuiLi Xu Yimeng Shan Xin Fan Xiaohui Zhang Yaxing Liu |
author_facet | Chuangui Wu GuiLi Xu Yimeng Shan Xin Fan Xiaohui Zhang Yaxing Liu |
author_sort | Chuangui Wu |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-11T01:29:17Z |
format | Article |
id | doaj.art-5118689b67b54079bb992effac0e8594 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-11T01:29:17Z |
publishDate | 2023-06-01 |
publisher | MDPI AG |
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series | Sensors |
spelling | doaj.art-5118689b67b54079bb992effac0e85942023-11-18T17:26:44ZengMDPI AGSensors1424-82202023-06-012313578810.3390/s23135788Defect Detection Algorithm for Wing Skin with Stiffener Based on Phased-Array Ultrasonic ImagingChuangui Wu0GuiLi Xu1Yimeng Shan2Xin Fan3Xiaohui Zhang4Yaxing Liu5State-Owned Machinery Factory in Wuhu, Wuhu 241007, ChinaCollege of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaState-Owned Machinery Factory in Wuhu, Wuhu 241007, ChinaState-Owned Machinery Factory in Wuhu, Wuhu 241007, ChinaState-Owned Machinery Factory in Wuhu, Wuhu 241007, ChinaState-Owned Machinery Factory in Wuhu, Wuhu 241007, ChinaIn 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.https://www.mdpi.com/1424-8220/23/13/5788wing skin with stiffenerdefect defectionphased-array ultrasonic imagingdata post-processingreal-time imaging |
spellingShingle | Chuangui Wu GuiLi Xu Yimeng Shan Xin Fan Xiaohui Zhang Yaxing Liu Defect Detection Algorithm for Wing Skin with Stiffener Based on Phased-Array Ultrasonic Imaging Sensors wing skin with stiffener defect defection phased-array ultrasonic imaging data post-processing real-time imaging |
title | Defect Detection Algorithm for Wing Skin with Stiffener Based on Phased-Array Ultrasonic Imaging |
title_full | Defect Detection Algorithm for Wing Skin with Stiffener Based on Phased-Array Ultrasonic Imaging |
title_fullStr | Defect Detection Algorithm for Wing Skin with Stiffener Based on Phased-Array Ultrasonic Imaging |
title_full_unstemmed | Defect Detection Algorithm for Wing Skin with Stiffener Based on Phased-Array Ultrasonic Imaging |
title_short | Defect Detection Algorithm for Wing Skin with Stiffener Based on Phased-Array Ultrasonic Imaging |
title_sort | defect detection algorithm for wing skin with stiffener based on phased array ultrasonic imaging |
topic | wing skin with stiffener defect defection phased-array ultrasonic imaging data post-processing real-time imaging |
url | https://www.mdpi.com/1424-8220/23/13/5788 |
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