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Title: Acoustic Sorting Models for Log Segregation

Source: In: Proceedings of the 16th international symposium on nondestructive testing and evaluation of wood. 2009 October 12-14. Beijing, China. Beijing Forestry University, Beijing, China. Dr. Houjian Zhang and Dr. Xiping Wang, eds. p. 45-51.

Author(s)Wang, Xiping; Verrill, Steve; Lowell, Eini; Ross, Robert; Herian, Vicki

Publication Year: 2009  View PDF »

Category: Conference Proceedings
Associated Research Project(s):   FPL-4851-1A  FPL-4851-1A

Abstract: Acoustic resonance technique has been recognized as a robust nondestructive testing tool for raw material evaluation in the wood industry. Acoustic velocity is currently the primary sorting parameter for mills to segregate in-coming stems and logs into classes that suit structural or nonstructural applications. Although this simple sorting strategy has been proved somewhat effective by several mill studies, the direct correlation between acoustic velocity of logs and properties of wood products derived from the logs was actually low. In this paper we examine three individual log measures (acoustic velocity (AV), average log diameter (ALD), and log order (LO)) for their ability to predict the average modulus of elasticity (MOE) and grade yield of the structural lumber obtained from Douglas-fir logs. We find that, in addition to log acoustic velocity, log diameter and log order are important physical parameters that should be incorporated into log sorting models. In three different acoustic sorting models (AV alone, AV and ALD, AV and LO) developed for Douglas-fir logs, the velocity and log order model and the velocity and log diameter model perform better than the velocity-alone model. The results of this study indicate that using a second variable can improve the precision of log sorting. The two-parameter acoustic sorting models can be used either to select best quality logs or to segregate worst quality logs, depending on the needs of mills and material applications.

Keywords: Nondestructive testing, acoustic imaging, deterioration, testing, acoustic properties, wood quality, wood defects, mechanical properties, wood grading, grading, Pseudotsuga menziesii, modulus of elasticity, elasticity, Douglas fir, wood decay, acoustic testing, log quality, decay, log grading, sorting

Publication Review Process: Non-Refereed (Other)

File size: 233 kb(s)

Date posted: 05/02/2011
RITS Product ID: 36107
Current FPL Scientists associated with this product (listed alphabetically)
Ross, Robert J.
Supervisory Research Gen. Engineer
Verrill, Steve P.
Mathematical Statistician
Wang, Xiping
Research Forest Products Technologist

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