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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Lars Hansson and Ekaterina Cherepanova
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DOI:10.17265/1934-7359/2012.03.011
Department of Engineering Sciences and Mathematics, Division of Wood Science and Engineering, Wood Physics, Skellefteå, Sweden
Theaim of the present work wasto analyze moisture flow and moisture content data for high-temperature drying by usingan advanced image- processing algorithm.Since wood starts to shrink below the fibre saturation point during drying, the size and shape of wood will change. The dry wood image was thoroughly transformed to the shape of the wet wood image prior to calculating the dry weight moisture content. The use of the image- processing algorithm for the dry weight moisture content on density data from the CT-scanning during drying in a controlled high-temperature environment showed that this method is a powerful tool for analyzing the moisture flow inside the wood piece. Furthermore, the new CT-scanner together with the climate chamber gave unique results, as it has not been possible to study high-temperature drying with this method before.
CT-scanning, fibre saturation point, high-temperature drying, image analysis, moisture content, wood drying.