@article{8767675,
  abstract     = {{Medium-density fiberboard (MDF), a wood-based material that consists of a tight random network of wood fibers, deforms more than wood when exposed to water. For the first time, the microscopic deformations of MDF were tracked during swelling. A hygroscopic swelling setup imposing the material to deform throughout tomographic acquisition was used coupled to X-ray microtomography. An advanced reconstruction algorithm enabled reconstruction of images free of motion artefacts, and state-of-the-art digital volume correlation was applied to determine the mechanical strain fields at high resolution. Wood fiber bundles were then segmented from single fibers with deep learning using the UNet3D architecture. Combined with the strain fields, this segmentation showed that wood fiber bundles were the drivers of MDF swelling. This contrasts with the hygroscopic behavior of wood, where structured wood swells less than single fibers, which might be caused by a difference in penetration and distribution of the adhesive, in and on the wood fiber cell wall. The unique characterization of MDF’s dynamic behavior can already be used to develop manufacturing strategies to improve water resistance, therefore widening the uses of natural fiber-based materials.}},
  articleno    = {{206}},
  author       = {{Kibleur, Pierre and Manigrasso, Zaira and Goethals, Wannes and Aelterman, Jan and Boone, Matthieu and Van Acker, Joris and Van den Bulcke, Jan}},
  issn         = {{1359-5997}},
  journal      = {{MATERIALS AND STRUCTURES}},
  keywords     = {{Mechanics of Materials,General Materials Science,Building and Construction,Civil and Structural Engineering,Wood fibers,Hygroscopic swelling,Dynamic X-ray CT,Deep learning,Digital volume correlation}},
  language     = {{eng}},
  number       = {{7}},
  pages        = {{12}},
  title        = {{Microscopic deformations in MDF swelling : a unique 4D-CT characterization}},
  url          = {{http://doi.org/10.1617/s11527-022-02044-1}},
  volume       = {{55}},
  year         = {{2022}},
}

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