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Title: ASSESSING WOOD QUALITY OF BORER-INFESTED RED OAK LOGS WITH A RESONANCE ACOUSTIC TECHNIQUE

Source: Wood and Fiber Science, 41(2), 2009, pp. 180-193

Author(s)Wang, Xiping; Stelzer, Henry E.; Wiedenbeck, Jan; Lebow, Patricia K.; ross, robert J.

Publication Year: 2009  View PDF »

Category: Journal Articles
Associated Research Project(s):   FPL-4714-3A  FPL-4851-1A

Abstract: Large numbers of black oak (Quercus velutina Lam.) and scarlet oak (Quercus coccinea Muenchh.) trees are declining and dying in the Missouri Ozark forest as a result of oak decline. Red oak borer-infested trees produce low-grade logs that become extremely difficult to merchandize as the level of insect attack increases. The objective of this study was to investigate the use of a resonance-based acoustic technique to evaluate the wood quality of infested red oak logs before processing as measured by grade, type and location of defects, and mechanical properties of the resulting boards. Principal component and canonical correlation analyses revealed that relationships do exist between log acoustic measurement and board grade yield, and between a linear combination of log acoustic velocity and diameter at breast height and a linear combination of board defect measurements. Although the acoustic technique was found capable of assessing wood quality at a stand level, the major advantage of the technique lies in segregating logs within the stand.

Keywords: Acoustic velocity, logs, defects, grade yield, mechanical properties, oak decline, red oak, red oak borer, wood, nondestructive testing, acoustic imaging, deterioration, testing, acoustic properties, wood quality, acoustic properties, black oak, diseases and pests, oak, biodegradation, wood defects, wood grading, insect pests, red oak borer, Enaphalodes rufulus, wood decay, acoustic testing, log quality, oak decay, log grading, yields

File size: 935 kb(s)

Date posted: 06/26/2009

This publication is also viewable on Treesearch:  view
RITS Product ID: 29709
Current FPL Scientists associated with this product (listed alphabetically)
Lebow, Patricia K.
Mathematical Statistician
Ross, Robert J.
Supervisory Research Gen. Engineer
Wang, Xiping
Research Forest Products Technologist

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