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Sorting Eucalyptus nitens plantation logs using acoustic wave velocity


Farrell, R and Innes, TC and Harwood, CE, Sorting Eucalyptus nitens plantation logs using acoustic wave velocity, Australian Forestry, 75, (1) pp. 22-30. ISSN 0004-9158 (2012) [Refereed Article]

Copyright Statement

Copyright 2012 Taylor & Francis

DOI: doi:10.1080/00049158.2012.10676382


Acoustic wave velocity (AWV) was evaluated as a predictor of wood stiffness in plantation-grown Eucalyptus nitens. To represent the resource currently being directed to the structural timber market, five harvest sites were selected in NE and NW Tasmania spanning two age classes (8 y and 13-15 y) and three productivity classes. A total of 155 sawlogs, 5.5 m long, were cut from 137 harvested trees. AWV was measured in both standing trees and in sawlogs in the mill yard. Disk samples were collected from the butt end of each log to determine green and basic density. Logs were then sawn, and structural boards dried and finished according to commercial processing practice. One sample board per log was then tested for stiffness, bending and shear strength and hardness.

Sites differed significantly (P < 0.001) in standing tree AWV, log AWV and all wood properties of the butt logs, with the 13-15-y age class displaying higher AWV, wood basic density, stiffness and hardness than the 8-y age class. Log AWV2 explained 54% of the variance in board static modulus of elasticity (MoEstat) for the pooled data. At the age class level, 47% of the variance was explained for the 13-15-y logs, but the correlation was much poorer-explaining only 6%> of variance in MoEstat-for the subset of 56 logs from the two 8-y-old sites. Dynamic MOE (MoEdyn, the product of green density and log AWV2), gave useful predictions of MoEstat for the younger age class. MoEdyn calculated using log AWV 2 explained 56% of the variation in MoEstat, facilitating the segregation of logs into three stiffness classes. Tree AWV2 explained 40% of the variation in MoEstat for the pooled data, similarly enabling segregation of boards into three stiffness classes. Relative to segregation at the log level, a similar percentage of low-stiffness material was identified; but ability to identify higher-stiffness material was reduced. A significant (P < 0.01) positive correlation of 0.30 was found between board stiffness and hardness, indicating that segregation based on increasing stiffness would also improve hardness.

Item Details

Item Type:Refereed Article
Keywords:acoustic properties, wood properties, evaluation, Eucalyptus nitens
Research Division:Agricultural, Veterinary and Food Sciences
Research Group:Forestry sciences
Research Field:Forestry product quality assessment
Objective Division:Plant Production and Plant Primary Products
Objective Group:Forestry
Objective Field:Hardwood plantations
UTAS Author:Farrell, R (Mr Ross Farrell)
ID Code:85156
Year Published:2012
Deposited By:Research Division
Deposited On:2013-06-17
Last Modified:2013-08-01

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