Investigating the potential of strength grading green Eucalyptus grandis lumber using multi-sensor technology
CITATION: Nocetti, M., Pröller, M., Brunetti, M., Dowse, G., & Wessels, C. 2017. Investigating the potential of strength grading green Eucalyptus grandis lumber using multi-sensor technology, BioResources, 12(4), 9273-9286.
The original publication is available at https://bioresources.cnr.ncsu.edu/
The exploitation of Eucalyptus grandis lumber as structural material may take advantage of the finger-joint and edge-gluing of the boards while they are still wet, so as to reduce the natural susceptibility of the species to warp and split during drying. But the strength grading needed for structural uses, usually performed on dried lumber, should be done before any gluing process, then already in wet condition. Thus, detection and assessment of selected properties of the wet lumber were evaluated. Eucalyptus grandis boards were measured by a multi-sensor machine soon after sawing, then dried and measured again. Destructive bending tests were then performed to determine the mechanical properties of the lumber and several predictive models were compared. The determination on non-destructive parameters by the machine was as effective on fresh as on dry lumber. The dynamic modulus of elasticity was the best single predictor of mechanical properties. In contrast, the know parameter did not show a correlation between strength and stiffness robust enough to justify the efforts to measure it. Wet grading proved to be as effective as dry grading. Therefore, the study suggests that measuring only dynamic modulus of elasticity on fresh lumber is the best approach for the mechanical grading in Eucalyptus grandis.