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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Main Authors: Jin, Haoran, Zheng, Zesheng, Liao, Xinqin, Zheng, Yuanjin
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/161983
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Institution: Nanyang Technological University
Language: English
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spelling 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.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Ultrasonic Imaging
Wavenumber Algorithm
spellingShingle 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
description 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.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Jin, Haoran
Zheng, Zesheng
Liao, Xinqin
Zheng, Yuanjin
format Article
author Jin, Haoran
Zheng, Zesheng
Liao, Xinqin
Zheng, Yuanjin
author_sort 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
publishDate 2022
url https://hdl.handle.net/10356/161983
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