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Detecting thin adhesive coatings in wood fiber materials with laboratory-based dual-energy computed tomography (DECT)

The distribution and good spreading of adhesive resins is critical for the wood-based panels industry. Full 3D non-destructive characterization is necessary, but methods are limited due to the chemical similarities between the resins and the wood fibers. For X-ray microtomography ([Formula: see text...

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Autores principales: Kibleur, Pierre, Blykers, Benjamin, Boone, Matthieu N., Van Hoorebeke, Luc, Van Acker, Joris, Van den Bulcke, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9509346/
https://www.ncbi.nlm.nih.gov/pubmed/36153355
http://dx.doi.org/10.1038/s41598-022-20422-1
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author Kibleur, Pierre
Blykers, Benjamin
Boone, Matthieu N.
Van Hoorebeke, Luc
Van Acker, Joris
Van den Bulcke, Jan
author_facet Kibleur, Pierre
Blykers, Benjamin
Boone, Matthieu N.
Van Hoorebeke, Luc
Van Acker, Joris
Van den Bulcke, Jan
author_sort Kibleur, Pierre
collection PubMed
description The distribution and good spreading of adhesive resins is critical for the wood-based panels industry. Full 3D non-destructive characterization is necessary, but methods are limited due to the chemical similarities between the resins and the wood fibers. For X-ray microtomography ([Formula: see text] CT), the doping of the resin with a highly attenuating contrast agent is necessary to visualize the resin distribution. However, the attenuation signal remains hard to segment clearly due to partial volume effects in the image, and phase mixing in the material. To help in the identification of the doped resin, dual-energy X-ray CT (DECT) is used to exploit the contrast agent’s K-edge, based on simulations which take into account the polychromatic properties of the X-ray tube and detector response. The contrast agent’s identification with DECT is validated with elemental mapping using scanning electron microscopy combined with energy-dispersive spectroscopy (SEM-EDX) on the surface of a wood-based panel sample, using data fusion between DECT and SEM-EDX. Overall, DECT results here in the first 3D identification of doped resin inside wood fiberboards, guiding the industry’s efforts in further improving the durability of wood-based panels.
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spelling pubmed-95093462022-09-26 Detecting thin adhesive coatings in wood fiber materials with laboratory-based dual-energy computed tomography (DECT) Kibleur, Pierre Blykers, Benjamin Boone, Matthieu N. Van Hoorebeke, Luc Van Acker, Joris Van den Bulcke, Jan Sci Rep Article The distribution and good spreading of adhesive resins is critical for the wood-based panels industry. Full 3D non-destructive characterization is necessary, but methods are limited due to the chemical similarities between the resins and the wood fibers. For X-ray microtomography ([Formula: see text] CT), the doping of the resin with a highly attenuating contrast agent is necessary to visualize the resin distribution. However, the attenuation signal remains hard to segment clearly due to partial volume effects in the image, and phase mixing in the material. To help in the identification of the doped resin, dual-energy X-ray CT (DECT) is used to exploit the contrast agent’s K-edge, based on simulations which take into account the polychromatic properties of the X-ray tube and detector response. The contrast agent’s identification with DECT is validated with elemental mapping using scanning electron microscopy combined with energy-dispersive spectroscopy (SEM-EDX) on the surface of a wood-based panel sample, using data fusion between DECT and SEM-EDX. Overall, DECT results here in the first 3D identification of doped resin inside wood fiberboards, guiding the industry’s efforts in further improving the durability of wood-based panels. Nature Publishing Group UK 2022-09-24 /pmc/articles/PMC9509346/ /pubmed/36153355 http://dx.doi.org/10.1038/s41598-022-20422-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Kibleur, Pierre
Blykers, Benjamin
Boone, Matthieu N.
Van Hoorebeke, Luc
Van Acker, Joris
Van den Bulcke, Jan
Detecting thin adhesive coatings in wood fiber materials with laboratory-based dual-energy computed tomography (DECT)
title Detecting thin adhesive coatings in wood fiber materials with laboratory-based dual-energy computed tomography (DECT)
title_full Detecting thin adhesive coatings in wood fiber materials with laboratory-based dual-energy computed tomography (DECT)
title_fullStr Detecting thin adhesive coatings in wood fiber materials with laboratory-based dual-energy computed tomography (DECT)
title_full_unstemmed Detecting thin adhesive coatings in wood fiber materials with laboratory-based dual-energy computed tomography (DECT)
title_short Detecting thin adhesive coatings in wood fiber materials with laboratory-based dual-energy computed tomography (DECT)
title_sort detecting thin adhesive coatings in wood fiber materials with laboratory-based dual-energy computed tomography (dect)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9509346/
https://www.ncbi.nlm.nih.gov/pubmed/36153355
http://dx.doi.org/10.1038/s41598-022-20422-1
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