Image reconstruction of immersed ultrasonic testing for strongly attenuative materials
With the development of industrial materials, the objects of ultrasonic non-destructive evaluation (UNDE) have been expanded from metals to composite and polymer materials. However, composite and polymer materials are elastoplastic. The elastoplastic induced strong acoustic attenuation and dispersio...
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sg-ntu-dr.10356-1619832022-09-28T02:40:08Z Image reconstruction of immersed ultrasonic testing for strongly attenuative materials Jin, Haoran Zheng, Zesheng Liao, Xinqin Zheng, Yuanjin School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Ultrasonic Imaging Wavenumber Algorithm With the development of industrial materials, the objects of ultrasonic non-destructive evaluation (UNDE) have been expanded from metals to composite and polymer materials. However, composite and polymer materials are elastoplastic. The elastoplastic induced strong acoustic attenuation and dispersion affect the phases and waveforms of ultrasound waves. If overlooking these effects, the ultrasound reconstruction image will generate position deviation, resolution degradation and detail loss. To overcome this kind of deficiency, this paper introduces an ultrasound reconstruction that takes account of attenuation and dispersion compensation for the UNDE applications. It is derived from phase shift migration (PSM) by modifying the phase shift term with compensations of the attenuation and dispersion. This method can resolve imaging of layered media with depth-variant attenuation, such as commonly used immersed ultrasonic testing cases, while inheriting the high computational efficiency of PSM. Based on simulation and experimental results, the proposed method corrects the reconstruction deviation, improves image resolution, and restore details caused by depth variant attenuation and dispersion which literature methods cannot. For reconstructing a 3D image data sized of 4000 × 140 × 300 pixels, the memory cost can be controlled under 300 MB using recursive implementation, and the time cost can be reduced to 0.4 s using parallelization implementation. 2022-09-28T02:40:08Z 2022-09-28T02:40:08Z 2022 Journal Article Jin, H., Zheng, Z., Liao, X. & Zheng, Y. (2022). Image reconstruction of immersed ultrasonic testing for strongly attenuative materials. Mechanical Systems and Signal Processing, 168, 108654-. https://dx.doi.org/10.1016/j.ymssp.2021.108654 0888-3270 https://hdl.handle.net/10356/161983 10.1016/j.ymssp.2021.108654 2-s2.0-85120994113 168 108654 en Mechanical Systems and Signal Processing © 2021 Elsevier Ltd. All rights reserved. |
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Engineering::Electrical and electronic engineering Ultrasonic Imaging Wavenumber Algorithm Jin, Haoran Zheng, Zesheng Liao, Xinqin Zheng, Yuanjin Image reconstruction of immersed ultrasonic testing for strongly attenuative materials |
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With the development of industrial materials, the objects of ultrasonic non-destructive evaluation (UNDE) have been expanded from metals to composite and polymer materials. However, composite and polymer materials are elastoplastic. The elastoplastic induced strong acoustic attenuation and dispersion affect the phases and waveforms of ultrasound waves. If overlooking these effects, the ultrasound reconstruction image will generate position deviation, resolution degradation and detail loss. To overcome this kind of deficiency, this paper introduces an ultrasound reconstruction that takes account of attenuation and dispersion compensation for the UNDE applications. It is derived from phase shift migration (PSM) by modifying the phase shift term with compensations of the attenuation and dispersion. This method can resolve imaging of layered media with depth-variant attenuation, such as commonly used immersed ultrasonic testing cases, while inheriting the high computational efficiency of PSM. Based on simulation and experimental results, the proposed method corrects the reconstruction deviation, improves image resolution, and restore details caused by depth variant attenuation and dispersion which literature methods cannot. For reconstructing a 3D image data sized of 4000 × 140 × 300 pixels, the memory cost can be controlled under 300 MB using recursive implementation, and the time cost can be reduced to 0.4 s using parallelization implementation. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Jin, Haoran Zheng, Zesheng Liao, Xinqin Zheng, Yuanjin |
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Article |
author |
Jin, Haoran Zheng, Zesheng Liao, Xinqin Zheng, Yuanjin |
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Jin, Haoran |
title |
Image reconstruction of immersed ultrasonic testing for strongly attenuative materials |
title_short |
Image reconstruction of immersed ultrasonic testing for strongly attenuative materials |
title_full |
Image reconstruction of immersed ultrasonic testing for strongly attenuative materials |
title_fullStr |
Image reconstruction of immersed ultrasonic testing for strongly attenuative materials |
title_full_unstemmed |
Image reconstruction of immersed ultrasonic testing for strongly attenuative materials |
title_sort |
image reconstruction of immersed ultrasonic testing for strongly attenuative materials |
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2022 |
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https://hdl.handle.net/10356/161983 |
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1745574669019250688 |