Loading…

A system of equations for prediction of plywood veneer total yield and yield by grade for loblolly pine plywood bolts

A system of equations was developed that predicts square foot veneer total yield and yield by grade for loblolly pine (Pinus taeda L.) plywood bolts. The system predicts square foot yields based on a 1/8-inch peel for all veneer, grade B and better full sheets, grade C full sheets, grade D full shee...

Full description

Saved in:
Bibliographic Details
Published in:Forest products journal 1998-05, Vol.48 (5), p.80-88
Main Authors: Lynch, T.B. (Oklahoma State University, Stillwater, OK.), Clutter, M.L
Format: Article
Language:English
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A system of equations was developed that predicts square foot veneer total yield and yield by grade for loblolly pine (Pinus taeda L.) plywood bolts. The system predicts square foot yields based on a 1/8-inch peel for all veneer, grade B and better full sheets, grade C full sheets, grade D full sheets, a miscellaneous category consisting of grade C and better strips as well as fishtail and centercut, and a category consisting of grade D strip and D sawcore (full sheets that cannot meet requirements for grade D). The equation for prediction of total square foot veneer yield is a linear function of bolt volume within the small-end diameter inside bark (SEDib) excluding the core, and volume in the tapering portion of the bolt outside the cylinder defined by SEDib. Equations for grade yield are constructed by multiplying predicted total yield by a function that predicts the ratio of yield in a particular grade to total yield. Therefore, the system is constrained so that predicted total yield is equal to the sum of predicted yields by grade category. The ratio function depends on independent variables such as bolt grade, SEDib, and bolt position in the tree. Since total volume was a dependent variable in one of the system equations and a predictive variable in other nonlinear system equations, nonlinear 3-stage least squares techniques were used to estimate parameters in the system
ISSN:0015-7473
2376-9637