Yield optimization studies require information on the internal structure of logs. A major constraint to the development of data about internal log structure has been the lack of an accurate method to dissect logs and observe internal morphology. The objective of the present study was to develop a method for the characterization of knots, a key feature in the determination of wood quality. Logs were peeled to produce veneer strips on which longitudinal (L), radial (R), and tangential (T) coordinates of knot features were measured. This required the development of special peeling and distance recording devices. Computerized reconstruction algorithms were created to reproduce the knot in as much detail as possible from the L, R, and T coordinates collected on the veneer and on the cores left from the peeling process. Exploratory experiments were conducted to determine the condition, that should be used for producing the veneer that would best serve for knot reconstruction. The special peeling technique was tested on 7 Norway spruce logs that were 5.4-m long and yielded 429 knots for analysis. The method was found to be a reliable means of obtaining a precise description of the shape and orientation of knots in a laboratory environment. It can be adapted to measure other yield optimization features such as density and grain angle.
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