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Moisture Content Measurements in Wood Using Dual Energy CT-scanning: A Feasibility Study
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Wood Science and Engineering.
Department of Forest & Wood Science, Stellenbosch University.
Central Analytical Facilities, Stellenbosch University.
Number of Authors: 32016 (English)In: Wood Material Science & Engineering, ISSN 1748-0272, E-ISSN 1748-0280, Vol. 11, no 5, p. 312-317Article in journal (Refereed) Published
Abstract [en]

Currently computed tomography (CT) scanning provides a non-destructive method to determine moisture content in wood in three dimensions. With the current methodology two measurements are needed, one with the scanned piece of wood’s moist state and one after drying. Then the difference of the images can be calculated. The drawback and challenge is that dimensional changes due to shrinkage of wood in the drying process have to be compensated for by image processing. In this study a dual-energy CT scanning method is tested based on the consecutive scanning of wood samples at different energy levels to differentiate water from wood, without the necessity to dry the sample and thus without the need for complex image correction. Not quantified but visible differentiations due to moisture content were obtained on small cubical pine samples of different densities by quick consecutives scans at 60 and 200 kV. The results suggest that given that the pixels in the CT images are representing absorption coefficients it should be possible to directly measure moisture content in wood non-destructively in small volume elements inside solid wood in three dimensions. Further applications of this technique in industrial CT scanning of wood are discussed.

Place, publisher, year, edition, pages
2016. Vol. 11, no 5, p. 312-317
National Category
Other Mechanical Engineering
Research subject
Wood Science and Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-9443DOI: 10.1080/17480272.2016.1201863ISI: 000385568400006Scopus ID: 2-s2.0-84979608828Local ID: 810749b0-572e-49a9-af9f-61036d4d955dOAI: oai:DiVA.org:ltu-9443DiVA, id: diva2:982381
Note

Validerad; 2016; Nivå 2; 2016-10-19 (andbra)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Lindgren, Owe

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CiteExportLink to record
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