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Assessing crimp of fibres in random networks with 3D imaging
The analysis of fibrous structures using micro-computer tomography (µCT) is becoming more important as it provides an opportunity to characterise the mechanical properties and performance of materials. This study is the first attempt to provide computations of fibre crimp for various random fibrous...
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| Main Authors: | , , , , , |
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| Format: | Default Article |
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2023
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| Online Access: | https://hdl.handle.net/2134/22657459.v1 |
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| _version_ | 1818165423727706112 |
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| author | Yasasween Hewavidana Mehmet N Balci Andy Gleadall Behnam Pourdeyhimi Vadim Silberschmidt Emrah Demirci |
| author_facet | Yasasween Hewavidana Mehmet N Balci Andy Gleadall Behnam Pourdeyhimi Vadim Silberschmidt Emrah Demirci |
| author_sort | Yasasween Hewavidana (8361201) |
| collection | Figshare |
| description | The analysis of fibrous structures using micro-computer tomography (µCT) is becoming more important as it provides an opportunity to characterise the mechanical properties and performance of materials. This study is the first attempt to provide computations of fibre crimp for various random fibrous networks (RFNs) based on µCT data. A parametric algorithm was developed to compute fibre crimp in fibres in a virtual domain. It was successfully tested for six different X-ray µCT models of nonwoven fabrics. Computations showed that nonwoven fabrics with crimped fibres exhibited higher crimp levels than those with non-crimped fibres, as expected. However, with the increased fabric density of the non-crimped nonwovens, fibres tended to be more crimped. Additionally, the projected fibre crimp was computed for all three major 2D planes, and the obtained results were statistically analysed. Initially, the algorithm was tested for a small-size, nonwoven model containing only four fibres. The fraction of nearly straight fibres was computed for both crimped and non-crimped fabrics. The mean value of the fibre crimp demonstrated that fibre segments between intersections were almost straight. However, it was observed that there were no perfectly straight fibres in the analysed RFNs. This study is applicable to approach employing a finite-element analysis (FEA) and computational fluid dynamics (CFD) to model/analyse RFNs. |
| format | Default Article |
| id | rr-article-22657459 |
| institution | Loughborough University |
| publishDate | 2023 |
| record_format | Figshare |
| spelling | rr-article-226574592023-02-20T00:00:00Z Assessing crimp of fibres in random networks with 3D imaging Yasasween Hewavidana (8361201) Mehmet N Balci (15320335) Andy Gleadall (4378279) Behnam Pourdeyhimi (1900696) Vadim Silberschmidt (1248129) Emrah Demirci (1256556) Chemical sciences Engineering crimped fibre fibre crimp non-crimped fibre nonwovens parametric algorithm random fibrous network X-ray micro-CT The analysis of fibrous structures using micro-computer tomography (µCT) is becoming more important as it provides an opportunity to characterise the mechanical properties and performance of materials. This study is the first attempt to provide computations of fibre crimp for various random fibrous networks (RFNs) based on µCT data. A parametric algorithm was developed to compute fibre crimp in fibres in a virtual domain. It was successfully tested for six different X-ray µCT models of nonwoven fabrics. Computations showed that nonwoven fabrics with crimped fibres exhibited higher crimp levels than those with non-crimped fibres, as expected. However, with the increased fabric density of the non-crimped nonwovens, fibres tended to be more crimped. Additionally, the projected fibre crimp was computed for all three major 2D planes, and the obtained results were statistically analysed. Initially, the algorithm was tested for a small-size, nonwoven model containing only four fibres. The fraction of nearly straight fibres was computed for both crimped and non-crimped fabrics. The mean value of the fibre crimp demonstrated that fibre segments between intersections were almost straight. However, it was observed that there were no perfectly straight fibres in the analysed RFNs. This study is applicable to approach employing a finite-element analysis (FEA) and computational fluid dynamics (CFD) to model/analyse RFNs. 2023-02-20T00:00:00Z Text Journal contribution 2134/22657459.v1 https://figshare.com/articles/journal_contribution/Assessing_crimp_of_fibres_in_random_networks_with_3D_imaging/22657459 CC BY 4.0 |
| spellingShingle | Chemical sciences Engineering crimped fibre fibre crimp non-crimped fibre nonwovens parametric algorithm random fibrous network X-ray micro-CT Yasasween Hewavidana Mehmet N Balci Andy Gleadall Behnam Pourdeyhimi Vadim Silberschmidt Emrah Demirci Assessing crimp of fibres in random networks with 3D imaging |
| title | Assessing crimp of fibres in random networks with 3D imaging |
| title_full | Assessing crimp of fibres in random networks with 3D imaging |
| title_fullStr | Assessing crimp of fibres in random networks with 3D imaging |
| title_full_unstemmed | Assessing crimp of fibres in random networks with 3D imaging |
| title_short | Assessing crimp of fibres in random networks with 3D imaging |
| title_sort | assessing crimp of fibres in random networks with 3d imaging |
| topic | Chemical sciences Engineering crimped fibre fibre crimp non-crimped fibre nonwovens parametric algorithm random fibrous network X-ray micro-CT |
| url | https://hdl.handle.net/2134/22657459.v1 |