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Wood shrinkage is often calculated with the assumption that the radial and tangential shrinkage occurs parallel to the lumber surfaces. As a result, the calculated shrinkage has a built-in error in calculating the change in dimension as it ignores the curvilinear nature of the growth rings. This paper describes an Excel spreadsheet that considers the curvilinear nature of growth rings to calculate the transverse wood shrinkage and the amount of cup that might develop. The model is dependent on wood species, initial and final moisture contents, and location of the board within the log.
This note describes how a quality Index can be used to predict the lumber product value of white oak logs.
Lumber price trends provide key information to parties across the hardwood value chain. The prices illustrated in this note are representative of a typical mix of hardwood species that might be sawn in western and eastern North Carolina.
This note discusses how a Quality Index can be used to predict the lumber product value of northern red oak logs.
This note provides an economic estimate of North Carolina's lumber as a carbon storehouse.
