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Linking visual and stress wave grading of beech wood from the log to the sawmill product
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1  University of Ljubljana, Biotechnical Faculty

Abstract:

The quality potential and possibilities of using beech logs and sawn wood has been investigated. Thirty beech logs, having 48 cm mean diameter, were cut from 10 trees from a Hacquetio epipactidis-Fagetum SE-site in Slovenia. Trees, with 28.2 m mean height, were pre-selected according to the national 5-grade quality scale of assessing forest stands. Beech logs were classified according to the EN 1316-1 and sawn afterwards into unedged boards of 35 mm nominal thickness. Altogether 250 boards were visually graded according to the EN 975-1 and European Organisation of the Sawmill Industry (EOS) rules. Longitudinal vibration of logs and boards with the determination of stress wave velocity and dynamic modulus of elasticity by MTG timber grader was additionally included into the quality assessment. This machine grading was used on logs and sawn timber – in the latter in green and air dried state. In the case of logs, we confirmed significance of the relationship between visually assessed log quality and stress wave velocity. The stress wave velocity in logs was also related to the stress wave velocity in boards, where it varied considerably, especially at low graded material. In the case of sawn wood, the relationship between sawn wood grade and stress wave velocity was insignificant. The research confirmed the possibility of determining the stiffness of air-dried sawn wood and its strength grade already in the green state.

Keywords: quality control; logs; sawnwood; visual assessment; stress wave grading
Comments on this paper
Maria Francesca Cataldo
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Dear authors, according to the results obtained with the tests where the longitudinal stress wave velocity in logs is weakly correlated (R² = 0.38) to the longitudinal stress wave velocity in boards, how can this method help in pre-sorting logs for better classification and use of sawn timber.
Furthermore, in your opinion, it would have been interesting to evaluate the speed of the stress wave with non-destructive methods before felling the trees, such as the use of the Microsecond Timer, and then compare them with the methodologies subsequently adopted? In advance, many thanks for your reply
Aleš Straže
Thank you for your comment.
As the results show, by determining the sound velocity in the input logs, we can exclude logs with inferior properties. In this way we can improve the proportion of boards that will have a higher sound velocity.

I agree with you that it would be sensible and interesting to determine the sound velocity even on standing trees. We did not do this in our investigations, but in the case of logs we measured the sound velocity in the transverse direction, and the planks were also sorted according to their orientation (quarter, semi-quarter and flat sawn). We intend to present the results of this more complex study in the Forests journal.

Regards, Ales.

Maria Francesca Cataldo
Information about
Dear authors, according to the results obtained with the tests where the longitudinal stress wave velocity in logs is weakly correlated (R² = 0.38) to the longitudinal stress wave velocity in boards, how can this method help in pre-sorting logs for better classification and use of sawn timber.
Furthermore, in your opinion, it would have been interesting to evaluate the speed of the stress wave with non-destructive methods before felling the trees, such as the use of the Microsecond Timer, and then compare them with the methodologies subsequently adopted? In advance, many thanks for your reply



 
 
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