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Sapwood moisture content measurements in Scots Pine sawlogs combining X-ray and 3D scanning
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Wood Science and Engineering.
2010 (English)In: Proceedings, 11th International IUFRO Wood Drying Conference: [... in Skellefteå, Sweden, January 18 - 22, 2010 ... the theme of the conference was "Recent Advances in the Field of Wood Drying"] / [ed] Tom Morén; Lena Antti; Margot Sehlstedt-Persson, Luleå: Luleå tekniska universitet, 2010, 357-362 p.Conference paper (Refereed)
Abstract [en]

Wood industry of today deals with large volumes in an almost automatic process, which is not fully adapted tothe variability of the raw material. Consequently, it is crucial to sort the wood according to material properties inorder to process the wood efficiently and to obtain high quality end products. One material property which could beused for sorting is the moisture content of the sapwood, an important parameter for both the processing and the endproducts.Most large Swedish sawmills are using 3D scanners for quality sorting of Scots pine (Pinus sylvestris L.)sawlogs based on outer shape. Recently, some sawmills have also invested in X-ray log scanners in order to sort thesawlogs based on inner properties. It has previously been shown that, by combining raw data from industrial 3D andX-ray log scanners using path length compensation, green sapwood density and dry heartwood density can beestimated.In this study, the dry heartwood density was used to find an estimate of the dry sapwood density, thus allowingthe calculation of the sapwood moisture content. The log scanner data used in this study was simulated from 560Scots pine sawlogs which had previously been scanned in a computed tomography (CT) scanner. The estimatedsapwood moisture contents were then compared to reference values calculated by drying samples to 9% moisturecontent.It was found that the moisture content estimate could be used to separate the logs into two groups with high andlow moisture content, correctly identifying all logs with very low moisture content as dry logs. Out of all logs, 70%were correctly classified. The moisture content estimate could also be compared to the dry density dependentmaximum moisture content and used to identify logs that have actually started to dry.

Place, publisher, year, edition, pages
Luleå: Luleå tekniska universitet, 2010. 357-362 p.
Research subject
Wood Technology
URN: urn:nbn:se:ltu:diva-28117Local ID: 1cd480d0-25f8-11df-be83-000ea68e967bOAI: diva2:1001311
International IUFRO Wood Drying Conference : 18/01/2010 - 22/01/2010
Godkänd; 2010; 20100302 (ysko)Available from: 2016-09-30 Created: 2016-09-30Bibliographically approved

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