Individual Fibre Inclination Segmentation from X-ray Computed Tomography using Principal Component Analysis

Filip Bo Salling; Niels Jeppesen; Mads Rostgaard Sonne; Jesper H. Hattel; Lars Pilgaard Mikkelsen

doi:10.1177/00219983211052741

Individual Fibre Inclination Segmentation from X-ray Computed Tomography using Principal Component Analysis

Filip Bo Salling^*, Niels Jeppesen, Mads Rostgaard Sonne, Jesper H. Hattel, Lars Pilgaard Mikkelsen^*

^*Corresponding author for this work

Department of Applied Mathematics and Computer Science

Research output: Contribution to journal › Journal article › Research › peer-review

229 Downloads (Pure)

Abstract

This study presents a holistic segmentation procedure, which can be used to obtain individual fibre inclination angles from X-ray computed tomography. The segmentation approach is based on principal component analysis and was successfully applied for a unidirectional and an air textured glass fibre reinforced composite profile. The inclination results show a weighted mean fibre inclination of 2.1° and 8.0° for the unidirectional and air textured profile, respectively. For the air textured composite, fibre inclinations of up to 55° were successfully segmented. The results were verified by comparative analysis with equivalent results obtained from structure tensor analysis – showing no notable deviation. The comparable characteristics in combination with the distinct differences of the two material systems make this case study ideal for verification and validation of idealized models. It is shown how this approach can provide fast, accurate and repeatable inclination estimates with a high degree of automation.

Original language	English
Journal	Journal of Composite Materials
Volume	56
Issue number	1
Pages (from-to)	83-98
Number of pages	16
ISSN	0021-9983
DOIs	https://doi.org/10.1177/00219983211052741
Publication status	Published - 2022

Keywords

Glass fibre composites
Fibre undulation
Segmentation verification
Singular value decomposition
Structure tensor

Access to Document

10.1177/00219983211052741

FulltextAccepted author manuscript, 2.51 MB

OpenUrl availability

Full text

3DIM: 3D imaging center
Poulsen, H. F. (Project Manager), Gundlach, C. (Project Manager), Dahl, A. B. (Project Participant), Oddershede, J. (Project Participant), Trinderup, C. H. (Project Participant), Simonsen, S. B. (Project Participant), Zheng, Y. (Project Participant), Brink, B. (Project Participant), Lauridsen, T. (Project Participant), Thydén, K. T. S. (Project Participant), Sanna, S. (Project Participant), Baier-Stegmaier, S. M. (Project Participant), Bentzen, J. J. (Project Participant), Christensen, A. N. (Project Participant), Sørensen, H. O. (Project Participant), Mikkelsen, L. P. (Project Participant), Fæster, S. (Project Participant), Johansen, N.F.-J. (PI), Mokso, R. (PI), Kjer, H. M. (PI), Christensen, A. N. (PI), Quagliotti, D. (PI), Zhang, Y. (PI), Rasmussen, P. W. (PI) & Dahl, V. A. (PI)
01/01/2016 → 31/12/2029
Project: Research

File

X-ray computed tomography and scanning electron microscopy datasets of unidirectional and textured glass fibre composites.
Hattel, J. H. (Contributor), Salling, F. B. (Contributor) & Mikkelsen, L. P. (Contributor), Zenodo, 2021
DOI: 10.5281/zenodo.5483719, https://zenodo.org/record/5483719
Dataset

Cite this

@article{b0bb4ff1d685486e93139b732f6d7e90,

title = "Individual Fibre Inclination Segmentation from X-ray Computed Tomography using Principal Component Analysis",

abstract = "This study presents a holistic segmentation procedure, which can be used to obtain individual fibre inclination angles from X-ray computed tomography. The segmentation approach is based on principal component analysis and was successfully applied for a unidirectional and an air textured glass fibre reinforced composite profile. The inclination results show a weighted mean fibre inclination of 2.1° and 8.0° for the unidirectional and air textured profile, respectively. For the air textured composite, fibre inclinations of up to 55° were successfully segmented. The results were verified by comparative analysis with equivalent results obtained from structure tensor analysis – showing no notable deviation. The comparable characteristics in combination with the distinct differences of the two material systems make this case study ideal for verification and validation of idealized models. It is shown how this approach can provide fast, accurate and repeatable inclination estimates with a high degree of automation.",

keywords = "Glass fibre composites, Fibre undulation, Segmentation verification, Singular value decomposition, Structure tensor",

author = "Salling, {Filip Bo} and Niels Jeppesen and Sonne, {Mads Rostgaard} and Hattel, {Jesper H.} and Mikkelsen, {Lars Pilgaard}",

year = "2022",

doi = "10.1177/00219983211052741",

language = "English",

volume = "56",

pages = "83--98",

journal = "Journal of Composite Materials",

issn = "0021-9983",

publisher = "SAGE Publications",

number = "1",

}

TY - JOUR

T1 - Individual Fibre Inclination Segmentation from X-ray Computed Tomography using Principal Component Analysis

AU - Salling, Filip Bo

AU - Jeppesen, Niels

AU - Sonne, Mads Rostgaard

AU - Hattel, Jesper H.

AU - Mikkelsen, Lars Pilgaard

PY - 2022

Y1 - 2022

N2 - This study presents a holistic segmentation procedure, which can be used to obtain individual fibre inclination angles from X-ray computed tomography. The segmentation approach is based on principal component analysis and was successfully applied for a unidirectional and an air textured glass fibre reinforced composite profile. The inclination results show a weighted mean fibre inclination of 2.1° and 8.0° for the unidirectional and air textured profile, respectively. For the air textured composite, fibre inclinations of up to 55° were successfully segmented. The results were verified by comparative analysis with equivalent results obtained from structure tensor analysis – showing no notable deviation. The comparable characteristics in combination with the distinct differences of the two material systems make this case study ideal for verification and validation of idealized models. It is shown how this approach can provide fast, accurate and repeatable inclination estimates with a high degree of automation.

AB - This study presents a holistic segmentation procedure, which can be used to obtain individual fibre inclination angles from X-ray computed tomography. The segmentation approach is based on principal component analysis and was successfully applied for a unidirectional and an air textured glass fibre reinforced composite profile. The inclination results show a weighted mean fibre inclination of 2.1° and 8.0° for the unidirectional and air textured profile, respectively. For the air textured composite, fibre inclinations of up to 55° were successfully segmented. The results were verified by comparative analysis with equivalent results obtained from structure tensor analysis – showing no notable deviation. The comparable characteristics in combination with the distinct differences of the two material systems make this case study ideal for verification and validation of idealized models. It is shown how this approach can provide fast, accurate and repeatable inclination estimates with a high degree of automation.

KW - Glass fibre composites

KW - Fibre undulation

KW - Segmentation verification

KW - Singular value decomposition

KW - Structure tensor

U2 - 10.1177/00219983211052741

DO - 10.1177/00219983211052741

M3 - Journal article

SN - 0021-9983

VL - 56

SP - 83

EP - 98

JO - Journal of Composite Materials

JF - Journal of Composite Materials

IS - 1

ER -

Individual Fibre Inclination Segmentation from X-ray Computed Tomography using Principal Component Analysis

Abstract

Keywords

Access to Document

OpenUrl availability

Fingerprint

Projects

3DIM: 3D imaging center

Datasets

X-ray computed tomography and scanning electron microscopy datasets of unidirectional and textured glass fibre composites.

Cite this