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A method to estimate wood surface moisture content during drying
RISE Research Institutes of Sweden.
Alent Dynamic.
Linnaeus University, Faculty of Technology, Department of Forestry and Wood Technology.ORCID iD: 0000-0003-0130-3356
2017 (English)In: MADERAS: Ciencia y Tecnología, ISSN 0717-3644, E-ISSN 0718-221X, Vol. 19, no 2, p. 133-140Article in journal (Refereed) Published
Abstract [en]

A method to estimate the surface moisture content below the fibre saturation point that is a function of the surface temperature, wet- and dry bulb temperatures, equilibrium moisture content, and fibre saturation point was evaluated. The method is based on the premise that the surface temperature is solely influenced by the surface moisture content and the climate that the surface is exposed to. The prediction model contends that the surface moisture content is equal to the fibre saturation point when the surface temperature is equal to the wet bulb temperature, and equal to the equilibrium moisture content when the surface temperature is equal to the dry bulb temperature, with a linear interpolation between those two points. The model thus predicts that the average moisture content of a thin piece of veneer can be predicted with fairly good accuracy. Also, when drying boards in a fast changing climate, e.g. fan reversals in industrial kilns, the surface temperature and surface moisture content should change as abruptly as the climate does. Additionally, the surface moisture content should correlate to the known drying phases, with a consistently high surface moisture content during the capillary phase when the wet line is close to the surface, and a quickly decreasing surface moisture content when the wet line moves into the wood during the transition to the diffusion phase. The prediction model was tested in these three scenarios and the results suggest that the basic premise is reasonable, and that the method is useful for surface moisture content estimation.

Place, publisher, year, edition, pages
Wood Engineering Department, University of Bío-Bío , 2017. Vol. 19, no 2, p. 133-140
National Category
Wood Science
Research subject
Technology (byts ev till Engineering), Forestry and Wood Technology
Identifiers
URN: urn:nbn:se:lnu:diva-60679DOI: 10.4067/S0718-221X2017005000011ISI: 000403663800001Scopus ID: 2-s2.0-85018790831OAI: oai:DiVA.org:lnu-60679DiVA, id: diva2:1074114
Available from: 2017-02-14 Created: 2017-02-14 Last updated: 2019-09-06Bibliographically approved

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Johansson, Jimmy

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CiteExportLink to record
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  • apa
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