New Perspectives for LVL Manufacturing from Wood of Heterogeneous Quality—Part. 1: Veneer Mechanical Grading Based on Online Local Wood Fiber Orientation Measurement
Article dans une revue avec comité de lecture
The grading of wood veneers according to their true mechanical potential is an important issue in the peeling industry. Unlike in the sawmilling industry, this activity does not currently estimate the local properties of production. The potential of the tracheid effect, which enables local fiber orientation measurement, has been widely documented for sawn products. A measuring instrument exploiting this technology and implemented on a peeling line was developed, enabling us to obtain the fiber orientation locally which, together with global density, allowed us to model the local elastic properties of each veneer. A sorting method using this data was developed and is presented here. It was applied to 286 veneers from several logs of French Douglas fir, and was compared to a widely used sorting method based on veneer appearance defects. The effectiveness of both grading approaches was quantified according to mechanical criteria. This study shows that the sorting method used (based on local fiber orientation and average density) allows for better theorical quality discrimination according to the mechanical potential. This article is the first in a series, with the overall aim of enhancing the use of heterogeneous wood veneers in the manufacturing of maximized-performance LVL by veneer grading and optimized positioning as well as material mechanical property modelization.
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Veneer Mechanical Grading Based on Online Local Wood Fiber Orientation Measurements to Model and Manufacture Stiffness Optimized Structural Beams Communication avec acteDURIOT, Robin; POT, Guillaume; GIRARDON, Stéphane; ROUX, BENJAMIN; MARCON, Bertrand; VIGUIER, Joffrey; DENAUD, Louis (2023-10-04)Grading veneer for plywood manufacturing is often performed on line using visual criteria issued from EN 635-3 standard. For mechanical applications, the only visual criteria can be not sharp enough to accurately grade ...
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