Segmentation of a CFRP weave structure for material characterization and simulation
Phase contrast X-Ray imaging is state-of-art for micro-structural elucidation for carbon fiber reinforced composites (CFRP). Understanding the micro-structure of CFRP is important because it significantly influences its processing as well as its application properties on component length scale. Tw...
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| Format: | Article |
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NDT.net
2025-02-01
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| Series: | e-Journal of Nondestructive Testing |
| Online Access: | https://www.ndt.net/search/docs.php3?id=30714 |
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| author | Benedikt Boos Kuo-Ching Chen Andreas Gebhard Martin Gurka |
| author_facet | Benedikt Boos Kuo-Ching Chen Andreas Gebhard Martin Gurka |
| author_sort | Benedikt Boos |
| collection | DOAJ |
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Phase contrast X-Ray imaging is state-of-art for micro-structural elucidation for carbon fiber reinforced composites (CFRP). Understanding the micro-structure of CFRP is important because it significantly influences its processing as well as its application properties on component length scale. Two prominent examples for this multiscale relationship are the permeability of fiber woven fabrics as semi-finished parts, affecting its processing behaviour or the fatigue behaviour of the final composite, determining the usability and life-time of a composite product. CT provides a valuable tool for microstructure analysis, but is inherently limited to a certain length scale, while the important features of a CFRP specimen range from μm to several mm. The results presented in this article constitute the first steps in the development of a multiscale approach to bridge the gap over those 5 orders of magnitude on the length scale, to provide a digital representation of an actual CFRP sample, to be able to derive the aforementioned parameters. In a first step, a high-resolution μCT scans was performed on a woven carbon fiber specimen with a Zeiss Versa 520. The scan data were exported into three image stacks. These stacks were segmented into 0°-fibers, 90°-fibers and matrix. A structure-tensor-based approach, which used the 3D volume and an AI-based approach, which used the cross sections, where one fiber direction pierces the image surface, were chosen to perform the segmentation.
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| format | Article |
| id | doaj-art-0173721fa96b49ceacb7081d9b5f13b7 |
| institution | Kabale University |
| issn | 1435-4934 |
| language | deu |
| publishDate | 2025-02-01 |
| publisher | NDT.net |
| record_format | Article |
| series | e-Journal of Nondestructive Testing |
| spelling | doaj-art-0173721fa96b49ceacb7081d9b5f13b72025-02-06T10:48:18ZdeuNDT.nete-Journal of Nondestructive Testing1435-49342025-02-0130210.58286/30714Segmentation of a CFRP weave structure for material characterization and simulationBenedikt BoosKuo-Ching ChenAndreas GebhardMartin Gurka Phase contrast X-Ray imaging is state-of-art for micro-structural elucidation for carbon fiber reinforced composites (CFRP). Understanding the micro-structure of CFRP is important because it significantly influences its processing as well as its application properties on component length scale. Two prominent examples for this multiscale relationship are the permeability of fiber woven fabrics as semi-finished parts, affecting its processing behaviour or the fatigue behaviour of the final composite, determining the usability and life-time of a composite product. CT provides a valuable tool for microstructure analysis, but is inherently limited to a certain length scale, while the important features of a CFRP specimen range from μm to several mm. The results presented in this article constitute the first steps in the development of a multiscale approach to bridge the gap over those 5 orders of magnitude on the length scale, to provide a digital representation of an actual CFRP sample, to be able to derive the aforementioned parameters. In a first step, a high-resolution μCT scans was performed on a woven carbon fiber specimen with a Zeiss Versa 520. The scan data were exported into three image stacks. These stacks were segmented into 0°-fibers, 90°-fibers and matrix. A structure-tensor-based approach, which used the 3D volume and an AI-based approach, which used the cross sections, where one fiber direction pierces the image surface, were chosen to perform the segmentation. https://www.ndt.net/search/docs.php3?id=30714 |
| spellingShingle | Benedikt Boos Kuo-Ching Chen Andreas Gebhard Martin Gurka Segmentation of a CFRP weave structure for material characterization and simulation e-Journal of Nondestructive Testing |
| title | Segmentation of a CFRP weave structure for material characterization and simulation |
| title_full | Segmentation of a CFRP weave structure for material characterization and simulation |
| title_fullStr | Segmentation of a CFRP weave structure for material characterization and simulation |
| title_full_unstemmed | Segmentation of a CFRP weave structure for material characterization and simulation |
| title_short | Segmentation of a CFRP weave structure for material characterization and simulation |
| title_sort | segmentation of a cfrp weave structure for material characterization and simulation |
| url | https://www.ndt.net/search/docs.php3?id=30714 |
| work_keys_str_mv | AT benediktboos segmentationofacfrpweavestructureformaterialcharacterizationandsimulation AT kuochingchen segmentationofacfrpweavestructureformaterialcharacterizationandsimulation AT andreasgebhard segmentationofacfrpweavestructureformaterialcharacterizationandsimulation AT martingurka segmentationofacfrpweavestructureformaterialcharacterizationandsimulation |