Characterization and Modeling of Knots in Black Spruce (Picea Mariana) Logs
- Lemieux, Hugo
University Laval, Sainte-Foy, Quebec - Beaudoin, Michel
University Laval, Sainte-Foy, Quebec - Zhang, S.Y.
Forintek Canada Corp, Sainte-Foy, Quebec
A knot study on black spruce was performed on 21 trees originating from a natural stand located in Quebec. Branch (knot) frequency, distribution, and diameter along different directions in the trees were evaluated. A destructive protocol for dissection was developed to slice each know into a series of sections for modeling the know morphology (or internal distribution) within the log. In addition, attempts were made to establish the relationship between external branch parameters and internal knot morphology.
The study showed that there were higher numbers of knots on the southern sides of the trees than on the northern sides, but the know diameters on average were smaller on the southern sides. This heterogeneous distribution of knots around the stem may increase the chance of finding a log rotation that is optimal for lumber grade yield when the knots are considered during breakdown.
The dissection data were smoothed with second degree polynomial equations using an SAS program. The equations yielded knot angles and other know dimensional characteristics. The study indicated that internal knots in black spruce logs showed large variations in their angles, but their diameters could be predicted from the external measurements. This information is particularly important for sawing and grading models that require precise diameter data.
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