Journal article
Individual Fibre Inclination Segmentation from X-ray Computed Tomography using Principal Component Analysis
Manufacturing Engineering, Department of Mechanical Engineering, Technical University of Denmark1
Department of Mechanical Engineering, Technical University of Denmark2
Department of Applied Mathematics and Computer Science, Technical University of Denmark3
Composites Manufacturing and Testing, Wind Energy Materials and Components Division, Department of Wind Energy, Technical University of Denmark4
Department of Wind Energy, Technical University of Denmark5
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.
| Language: | English |
|---|---|
| Publisher: | SAGE Publications |
| Year: | 2022 |
| Pages: | 83-98 |
| ISSN: | 1530793x and 00219983 |
| Types: | Journal article |
| DOI: | 10.1177/00219983211052741 |
| ORCIDs: | 0000-0001-7844-9180 , Mikkelsen, Lars Pilgaard , Sonne, Mads Rostgaard and Hattel, Jesper H. |
