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Real-time wood moisture-content determination using dual-energy X-ray computed tomography scanning
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Wood Science and Engineering.ORCID iD: 0000-0001-7270-1920
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Wood Science and Engineering.
Department of Ocean Operations and Civil Engineering, Norwegian University of Science and Technology (NTNU), Ålesund, Norway.ORCID iD: 0000-0002-5869-2236
c Professor Emeritus of Building Materials, Stockholm, Sweden.
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2019 (English)In: Wood Material Science & Engineering, ISSN 1748-0272, E-ISSN 1748-0280Article in journal (Refereed) Epub ahead of print
Abstract [en]

The estimation of the pixel-wise distribution of the moisture content (MC) in wood using X-ray computed tomography (CT) requires two scans of the same wood specimen at different MCs, one of which is known. Image-processing algorithms are needed to compensate for the anisotropic distortion that wood undergoes as it dries. An alternative technique based on dual-energy CT (DECT) to determine MC in wood has been suggested by several authors. The purpose of the present study was to evaluate the hypothesis that DECT can be used for the determination of MC in real time. A method based on the use of the quotient between the linear attenuation coefficients (μ) at different acceleration voltages (the so-called quotient method) was used. A statistical model was created to estimate the MC in solid sapwood of Scots pine, Norway spruce and brittle willow. The results show a regression model with R2 > 0.97 that can predict the MC in these species with a RMSE of prediction of 0.07, 0.04 and 0.11 (MC in decimal format) respectively and at MC levels ranging from the green to the totally dry condition. Individual measurements of MC show an uncertainty of up to ±0.4. It is concluded that under the conditions prevailing in this study, and in studies referred to in this paper, it is not possible to measure MC with DECT.

Place, publisher, year, edition, pages
Taylor & Francis, 2019.
Keywords [en]
CT-scanning, dual-energy X-ray absorptiometry, wood drying, attenuation coefficient
National Category
Wood Science Other Mechanical Engineering
Research subject
Wood Science and Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-75497DOI: 10.1080/17480272.2019.1650828OAI: oai:DiVA.org:ltu-75497DiVA, id: diva2:1342441
Available from: 2019-08-13 Created: 2019-08-13 Last updated: 2019-08-13

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Couceiro, JoséLindgren, OweHansson, LarsSandberg, Dick

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