Investigating the potential of strength grading green Eucalyptus grandis lumber using multi-sensor technology

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dc.contributor.authorNocetti, Michelaen_ZA
dc.contributor.authorProller, Marcoen_ZA
dc.contributor.authorBrunetti, Micheleen_ZA
dc.contributor.authorDowse, George P.en_ZA
dc.contributor.authorWessels, C. Branden_ZA
dc.date.accessioned2018-08-14T09:52:08Z
dc.date.available2018-08-14T09:52:08Z
dc.date.issued2017-11
dc.descriptionCITATION: 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.en_ZA
dc.descriptionThe original publication is available at https://bioresources.cnr.ncsu.edu/en_ZA
dc.description.abstractThe 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.en_ZA
dc.description.versionpublishers versionen_ZA
dc.identifier.citationNocetti, 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.en_ZA
dc.identifier.issn1930-2126 (online)
dc.identifier.urihttp://hdl.handle.net/10019.1/104261
dc.language.isoen_ZAen_ZA
dc.publisherNorth Carolina State Universityen_ZA
dc.rights.holderAuthors retain copyrighten_ZA
dc.subjectEucalyptus grandisen_ZA
dc.subjectLumber -- Gradingen_ZA
dc.subjectForests and forestryen_ZA
dc.subjectTimberen_ZA
dc.titleInvestigating the potential of strength grading green Eucalyptus grandis lumber using multi-sensor technologyen_ZA
dc.typeArticleen_ZA
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