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A novel methodology to construct periodic multi-layer 2D woven unit cells with random nesting configurations directly from μCT-scans
- Source :
- Composites Science and Technology. 193:108125
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- This paper presents a novel methodology to derive multi-layer textile unit cells directly from μCT scans of real textile specimens. The constructed unit cells are guaranteed to be periodic and free from inter-tow penetrations. Furthermore, no assumptions with regards to the tows’ shape and spatial placement are imposed, which set the proposed technique apart from the state-of-the-art textile unit cell modelling approaches. The methodology can derive various unique unit cells with an arbitrary number of layers and nesting configurations from a given μCT-dataset, which are readily converted to finite element models that contain local information such as fibre fraction and orientation.
- Subjects :
- Materials science
Orientation (computer vision)
General Engineering
02 engineering and technology
Construct (python library)
010402 general chemistry
021001 nanoscience & nanotechnology
01 natural sciences
Finite element method
0104 chemical sciences
Set (abstract data type)
Ceramics and Composites
Nesting (computing)
Fraction (mathematics)
Composite material
0210 nano-technology
Multi layer
Unit (ring theory)
Algorithm
Subjects
Details
- ISSN :
- 02663538
- Volume :
- 193
- Database :
- OpenAIRE
- Journal :
- Composites Science and Technology
- Accession number :
- edsair.doi...........50027c6c728b9bb2feafdb6e76bcf1e8
- Full Text :
- https://doi.org/10.1016/j.compscitech.2020.108125