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A novel technique to simulate and characterize a yarn's mechanical behavior based on a geometrical fiber model extracted from micro-CT imaging: geometry and simulation data

Axel Bral (UGent) , Lode Daelemans (UGent) and Joris Degroote (UGent)
(2022)
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Abstract
This dataset contains the original µCT scan data, the scripts and intermediate results for the generation of the geometrical fiber model, as well as the structural simulation files and their experimental validation data described in the paper "A novel technique to simulate and characterize a yarn’s mechanical behavior based on a geometrical fiber model extracted from micro-CT imaging", published in Textile Research Journal.
Keywords
Fiber model, Finite element analysis, Microcomputed tomography, Multi-scale analysis, Yarn
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GPL-3.0-only
Access
open access

Citation

Please use this url to cite or link to this publication:

@misc{01GJT0ZR2N9Z940GGMX8QP5EYK,
  abstract     = {{This dataset contains the original µCT scan data, the scripts and intermediate results for the generation of the geometrical fiber model, as well as the structural simulation files and their experimental validation data described in the paper "A novel technique to simulate and characterize a yarn’s mechanical behavior based on a geometrical fiber model extracted from micro-CT imaging", published in Textile Research Journal.}},
  author       = {{Bral, Axel and Daelemans, Lode and Degroote, Joris}},
  keywords     = {{Fiber model,Finite element analysis,Microcomputed tomography,Multi-scale analysis,Yarn}},
  language     = {{eng}},
  publisher    = {{Zenodo}},
  title        = {{A novel technique to simulate and characterize a yarn's mechanical behavior based on a geometrical fiber model extracted from micro-CT imaging: geometry and simulation data}},
  url          = {{http://doi.org/10.5281/ZENODO.7244118}},
  year         = {{2022}},
}

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