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Strength and stiffness assessment technologies for improving grading effectiveness of radiata pine wood.

Bailleres, H. and Hopewell, G. and Boughton, G. and Brancheriau, L. (2012) Strength and stiffness assessment technologies for improving grading effectiveness of radiata pine wood. BioResources, 7 (1). pp. 1264-1282.

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Article URL: http://ojs.cnr.ncsu.edu/index.php/BioRes/article/view/BioRes_07_1_1264_Bailleres_HBB_Strength_Stiff_Grade_Radiata_Pine
Publisher URL: http://www.ncsu.edu/bioresources

Abstract

This work was designed to provide the Australian structural radiata pine processing industry with some indications for improving stress grading methods and/or technologies to give an increase in structural grade yields, and significantly reduce processing costs without compromising product quality. To achieve this, advanced statistical techniques were used in conjunction with state-of-the-art property measurement systems applied to the same sample of sawn timber. Acoustic vibration analyses were conducted on green and dry boards. Raw data from existing in-line systems was captured on the same boards. The Metriguard HCLT stress rating system was used as the "reference" machine grading because of its current common use in the industry. A WoodEye optical scanning system and an X-ray LHG scanner were also able to provide relevant information on knots. The data set was analyzed using classical and advanced statistical tools to provide correlations between data sets, and to develop efficient strength and stiffness prediction equations. Reductions in non-structural dry volumes can be achieved..

Item Type:Article
Business groups:Horticulture and Forestry Science
Additional Information:© BioResources is supported by the NC State University and made freely available on the internet at http://www.bioresources.com
Keywords:Modulus of eleasticity; modulus of rupture; grading; knot; stress rating; resonance method; grading; knots; measurement; pines; sawnwood; statistical analysis; techniques; vibration; X radiation; yields; Pinus; Pinus radiata; lumber; metrology; Monterey pine; statistical methods; X rays.
Subjects:Forestry
Deposited On:03 Apr 2012 03:33
Last Modified:07 Jun 2015 15:09

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