Sparse-TFM Imaging of Lamb Waves for the Near-Distance Defects in Plate-Like Structures
The ultrasonic phased array total focusing method (TFM) has the advantages of high imaging resolution and high sensitivity to small defects. However, it has a long imaging time and cannot realize near-distance defect imaging, which limits its application for industrial detection. A sparse-TFM algori...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-04-01
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| Series: | Metals |
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| Online Access: | https://www.mdpi.com/2075-4701/9/5/503 |
| _version_ | 1819110727769653248 |
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| author | Haiyan Zhang Yaqun Liu Guopeng Fan Hui Zhang Wenfa Zhu Qi Zhu |
| author_facet | Haiyan Zhang Yaqun Liu Guopeng Fan Hui Zhang Wenfa Zhu Qi Zhu |
| author_sort | Haiyan Zhang |
| collection | DOAJ |
| description | The ultrasonic phased array total focusing method (TFM) has the advantages of high imaging resolution and high sensitivity to small defects. However, it has a long imaging time and cannot realize near-distance defect imaging, which limits its application for industrial detection. A sparse-TFM algorithm is adopted in this work to solve the problem regarding rapid imaging of near- distance defects in thin plates. Green’s function is reconstructed through the cross-correlation of the diffuse full matrix captured by the ultrasonic phased array. The reconstructed full matrix recovers near-distance scattering information submerged by noise. A sparse array is applied to TFM for rapid imaging. In order to improve the imaging resolution, the location of active array elements in the sparse array can be optimized using the genetic algorithm (GA). Experiments are conducted on three aluminium plates with near-distance defects. The experimental results confirm that the sparse-TFM algorithm of Lamb waves can be used for near-distance defects imaging, which increases the computational efficiency by keeping the imaging accuracy. This paper provides a theoretical guidance for Lamb wave non-destructive testing of the near-distance defects in plate-like structures. |
| first_indexed | 2024-12-22T03:46:19Z |
| format | Article |
| id | doaj.art-4dbfc0477e8d4530bc780419e77a6666 |
| institution | Directory Open Access Journal |
| issn | 2075-4701 |
| language | English |
| last_indexed | 2024-12-22T03:46:19Z |
| publishDate | 2019-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Metals |
| spelling | doaj.art-4dbfc0477e8d4530bc780419e77a66662022-12-21T18:40:07ZengMDPI AGMetals2075-47012019-04-019550310.3390/met9050503met9050503Sparse-TFM Imaging of Lamb Waves for the Near-Distance Defects in Plate-Like StructuresHaiyan Zhang0Yaqun Liu1Guopeng Fan2Hui Zhang3Wenfa Zhu4Qi Zhu5School of Communication and Information Engineering, Shanghai University, Shanghai 200444, ChinaSchool of Communication and Information Engineering, Shanghai University, Shanghai 200444, ChinaSchool of Communication and Information Engineering, Shanghai University, Shanghai 200444, ChinaSchool of Communication and Information Engineering, Shanghai University, Shanghai 200444, ChinaSchool of Urban Railway Transportation, Shanghai University of Engineering Science, Shanghai 201620, ChinaSchool of Mechatronic and Automation Engineering, Shanghai University, Shanghai 200444, ChinaThe ultrasonic phased array total focusing method (TFM) has the advantages of high imaging resolution and high sensitivity to small defects. However, it has a long imaging time and cannot realize near-distance defect imaging, which limits its application for industrial detection. A sparse-TFM algorithm is adopted in this work to solve the problem regarding rapid imaging of near- distance defects in thin plates. Green’s function is reconstructed through the cross-correlation of the diffuse full matrix captured by the ultrasonic phased array. The reconstructed full matrix recovers near-distance scattering information submerged by noise. A sparse array is applied to TFM for rapid imaging. In order to improve the imaging resolution, the location of active array elements in the sparse array can be optimized using the genetic algorithm (GA). Experiments are conducted on three aluminium plates with near-distance defects. The experimental results confirm that the sparse-TFM algorithm of Lamb waves can be used for near-distance defects imaging, which increases the computational efficiency by keeping the imaging accuracy. This paper provides a theoretical guidance for Lamb wave non-destructive testing of the near-distance defects in plate-like structures.https://www.mdpi.com/2075-4701/9/5/503Lamb wavesdiffuse fieldsparse-TFM algorithmnear-distance defects imaging |
| spellingShingle | Haiyan Zhang Yaqun Liu Guopeng Fan Hui Zhang Wenfa Zhu Qi Zhu Sparse-TFM Imaging of Lamb Waves for the Near-Distance Defects in Plate-Like Structures Metals Lamb waves diffuse field sparse-TFM algorithm near-distance defects imaging |
| title | Sparse-TFM Imaging of Lamb Waves for the Near-Distance Defects in Plate-Like Structures |
| title_full | Sparse-TFM Imaging of Lamb Waves for the Near-Distance Defects in Plate-Like Structures |
| title_fullStr | Sparse-TFM Imaging of Lamb Waves for the Near-Distance Defects in Plate-Like Structures |
| title_full_unstemmed | Sparse-TFM Imaging of Lamb Waves for the Near-Distance Defects in Plate-Like Structures |
| title_short | Sparse-TFM Imaging of Lamb Waves for the Near-Distance Defects in Plate-Like Structures |
| title_sort | sparse tfm imaging of lamb waves for the near distance defects in plate like structures |
| topic | Lamb waves diffuse field sparse-TFM algorithm near-distance defects imaging |
| url | https://www.mdpi.com/2075-4701/9/5/503 |
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