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- Persson, Fredrik, et al.
(författare)
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Automatisk övervakning och uppföljning i torkprocessen
- 2016
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- The goal of the project was to develop technology that makes it possible to automatically monitor and control the drying process and thus meet the target moisture content with higher precision.Weighing of the green wood was seen as a feasible and cost-effective method to get information about the green wood density and moisture content. The hypothesis was that the variations in dry density of pine and spruce are low enough to give a good enough estimate of green moisture content when weighing the timber before drying. A scale was installed at Kåge sawmill in the green sorter between the sink bins and the sticker stacker. All wood that passed the scale was weighted automatically and the three regular check-ups of the scale showed that it had an accuracy of just under 0,9% in relation to the reference weight. This gives an error of 1,8 – 2 % of the calculated moisture content depending on the variation of density of the woodThe density of green wood, dry density and green moisture content was followed for four products between March and November 2013, one thin and one thick for both spruce and pine. The results from the tests showed variations of the dry density is subordinate to the green moisture content. The largest variation in green moisture content was found for 32 x 125 mm pine where it varied between 64 and 82 %. Spruce with the dimensions 63x150 mm was the only dimension that did not have any variation in green moisture content.Measurements indicate that it is possible to achieve the set goals: to be able to predict the green moisture content by about ± 5% points, while also adding variations in dry density, scale uncertainty and fluctuating green dimensions.Key words: Packet weight, industrial sawmill, wood drying
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