Quantitative ultrasonic imaging of weave structure in textile composites

Textile composites owe their desirable mechanical properties to the intricate fabric architecture. However, manufacturing deviations can influence these attributes, significantly affecting their mechanical performance. Thus, ensuring the quality and structural integrity of fabric architectures has b...

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Main Authors: Yang, Xiaoyu, Kersemans, Mathias, Fan, Zheng
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/175847
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1758472024-05-08T02:19:03Z Quantitative ultrasonic imaging of weave structure in textile composites Yang, Xiaoyu Kersemans, Mathias Fan, Zheng School of Mechanical and Aerospace Engineering Engineering Textile composites Weave pattern extraction Textile composites owe their desirable mechanical properties to the intricate fabric architecture. However, manufacturing deviations can influence these attributes, significantly affecting their mechanical performance. Thus, ensuring the quality and structural integrity of fabric architectures has become pivotal, leading to the advancement of ultrasonic non-destructive testing techniques. However, existing techniques, primarily tailored for unidirectional laminates, often struggle with weave pattern extraction, given the complex features of fabric laminates. To address this gap, a pulse-echo ultrasound coupled to a 2D analytic-signal analysis is proposed. The 2D analytic-signal methodology autonomously discerns the complex ultrasound features from fabric laminates, streamlining weave pattern analysis. The study showcases ply-by-ply reconstruction of local weave patterns of fabric laminates with nominal layups of [#(0/90)]8 and [#(+45/−45)#(0/90)]5s, respectively. The efficacy of the methodology is ascertained through quantitative metrics, highlighting its innovative potential for through-depth extraction of local weave patterns in a swift and automated manner. Ministry of Education (MOE) This work was supported by the Ministry of Education of Singapore Tier-1 grant (RG69/22) and the Bijzonder OnderzoeksFonds (BOF) of Ghent University (grant number 01N01719). 2024-05-08T02:19:03Z 2024-05-08T02:19:03Z 2024 Journal Article Yang, X., Kersemans, M. & Fan, Z. (2024). Quantitative ultrasonic imaging of weave structure in textile composites. Composites Part B, 275, 111310-. https://dx.doi.org/10.1016/j.compositesb.2024.111310 1359-8368 https://hdl.handle.net/10356/175847 10.1016/j.compositesb.2024.111310 2-s2.0-85186661844 275 111310 en RG69/22 Composites Part B © 2024 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
Textile composites
Weave pattern extraction
spellingShingle Engineering
Textile composites
Weave pattern extraction
Yang, Xiaoyu
Kersemans, Mathias
Fan, Zheng
Quantitative ultrasonic imaging of weave structure in textile composites
description Textile composites owe their desirable mechanical properties to the intricate fabric architecture. However, manufacturing deviations can influence these attributes, significantly affecting their mechanical performance. Thus, ensuring the quality and structural integrity of fabric architectures has become pivotal, leading to the advancement of ultrasonic non-destructive testing techniques. However, existing techniques, primarily tailored for unidirectional laminates, often struggle with weave pattern extraction, given the complex features of fabric laminates. To address this gap, a pulse-echo ultrasound coupled to a 2D analytic-signal analysis is proposed. The 2D analytic-signal methodology autonomously discerns the complex ultrasound features from fabric laminates, streamlining weave pattern analysis. The study showcases ply-by-ply reconstruction of local weave patterns of fabric laminates with nominal layups of [#(0/90)]8 and [#(+45/−45)#(0/90)]5s, respectively. The efficacy of the methodology is ascertained through quantitative metrics, highlighting its innovative potential for through-depth extraction of local weave patterns in a swift and automated manner.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Yang, Xiaoyu
Kersemans, Mathias
Fan, Zheng
format Article
author Yang, Xiaoyu
Kersemans, Mathias
Fan, Zheng
author_sort Yang, Xiaoyu
title Quantitative ultrasonic imaging of weave structure in textile composites
title_short Quantitative ultrasonic imaging of weave structure in textile composites
title_full Quantitative ultrasonic imaging of weave structure in textile composites
title_fullStr Quantitative ultrasonic imaging of weave structure in textile composites
title_full_unstemmed Quantitative ultrasonic imaging of weave structure in textile composites
title_sort quantitative ultrasonic imaging of weave structure in textile composites
publishDate 2024
url https://hdl.handle.net/10356/175847
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