Conference paper
Fiber segmentation from 3D X-ray computed tomography of composites with continuous textured glass fibre yarns
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
Visual Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark4
Composite Mechanics and Structures, Department of Wind Energy, Technical University of Denmark5
Department of Wind Energy, Technical University of Denmark6
Statistics and Data Analysis, Department of Applied Mathematics and Computer Science, Technical University of Denmark7
Villum Center for Advanced Structural and Material Testing, Centers, Technical University of Denmark8
The current study investigates the applicability of a dictionary-based fiber-detection algorithm for continuous textured glass fiber yarns in fiber-reinforced polymer composites. Additionally, the study discusses options for improving the fiber-detection algorithm so that it is applicable to continuous textured fiber yarns in fiber-reinforced polymers.
| Language: | English |
|---|---|
| Year: | 2019 |
| Proceedings: | 2019 International Conference on Tomography of Materials & Structures |
| Types: | Conference paper |
| ORCIDs: | Emerson, Monica Jane , Sonne, Mads Rostgaard , Hattel, Jesper Henri , Mikkelsen, Lars Pilgaard and Dahl, Vedrana Andersen |
