Skip to Main Content
Machine grading of lumber : practical concerns for lumber producersAuthor(s): William L. Galligan; Kent A. McDonald
Source: Gen. Tech. Rep. FPL–GTR–7 (Revised). Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory. 39 p. : ill. ; 28 cm.
Publication Series: General Technical Report (GTR)
Station: Forest Products Laboratory
View PDF (511 KB)
DescriptionMachine lumber grading has been applied in commercial operations in North America since 1963, and research has shown that machine grading can improve the efficient use of wood. However, industry has been reluctant to apply research findings without clear evidence that the change from visual to machine grading will be a profitable one. For instance, mill managers need guidelines on machine grading. This report seeks to document such guidelines so that lumber mills can determine the feasibility of machine grading for their products. The first part of this report discusses the principles of using machine grading to assign properties. In the second part, the methods of machine-graded lumber yield assessment are described by an industry specialist. The final part discusses mill mechanical analysis and cost analysis.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationGalligan, William L.; McDonald, Kent A. 2000. Machine grading of lumber : practical concerns for lumber producers. Gen. Tech. Rep. FPL–GTR–7 (Revised). Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory. 39 p. : ill. ; 28 cm.
KeywordsGrading, lumber, sawmills, stress grading, lumber grading, stress grading and mechanical methods, equipment, sawnwood
- Investigating the linearity assumption between lumber grade mix and yield using design of experiments (DOE)
- Evolution of tensile design stresses for lumber
- Statistical models for the distribution of modulus of elasticity and modulus of rupture in lumber with implications for reliability calculations
XML: View XML