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Log Sawing Position Optimization using Computed Tomography Scanning
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Wood Science and Engineering.
2014 (English)In: Wood Material Science & Engineering, ISSN 1748-0272, E-ISSN 1748-0280, Vol. 9, no 2, 110-119 p.Article in journal (Refereed) Published
Abstract [en]

When disjoining a log, several factors affect the value of the sawn timber. There are log features, such as outer shape, knots, rot, and so on. There are also sawing parameters, such as sawing pattern, log position, and so on. If full information about log features is available, sawing parameters can be adapted in order to maximize product value in sawmills. This is soon possible, since computed tomography (CT) scanners for the sawmill industry are being realized. This study aimed at investigating how CT data can be used to choose rotational position, parallel displacement, and skew of sawlogs, to maximize the value of the sawn products. The study was made by sawing simulation of 269 CT scanned logs of Scots pine (Pinus sylvestris L.) and Norway spruce (Picea abies [L.] H. Karst.). The results showed that value recovery could be improved by 13% in average, compared to a sawing position based on log outer shape, and 21% compared to sawing logs centered and horns down. It can be concluded that a CT scanner, used in a sawline to optimize sawing parameters, has a large potential for increasing value recovery and thus profit.

Place, publisher, year, edition, pages
2014. Vol. 9, no 2, 110-119 p.
Research subject
Wood Technology
Identifiers
URN: urn:nbn:se:ltu:diva-7013DOI: 10.1080/17480272.2014.904430Local ID: 558206e0-0651-4f74-a86f-6412354d36b5OAI: oai:DiVA.org:ltu-7013DiVA: diva2:979900
Projects
CT-Pro
Note

Validerad; 2014; 20131028 (magfre)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2016-11-09Bibliographically approved

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