Abstract

Machine strength grading of structural timber is based upon relationships between so called indicating properties (IPs) and bending strength. However, such relationships applied on the market today are rather poor. In this paper, new IPs and a new grading method resulting in more precise strength predictions are presented. The local fibre orientation on face and edge surfaces of wooden boards was identified using high resolution laser scanning. In combination with knowledge regarding basic wood material properties for each investigated board, the grain angle information enabled a calculation of the variation of the local MOE in the longitudinal direction of the boards. By integration over cross-sections along the board, an edgewise bending stiffness profile and a longitudinal stiffness profile, respectively, were calculated. A new IP was defined as the lowest bending stiffness determined along the board. For a sample of 105 boards of Norway spruce of dimension 45 × 145 × 3,600 mm³, a coefficient of determination as high as 0.68–0.71 was achieved between this new IP and bending strength. For the same sample, the coefficient of determination between global MOE, based on the first longitudinal resonance frequency and the board density, and strength was only 0.59. Furthermore, it is shown that improved accuracy when determining the stiffness profiles of boards will lead to even better predictions of bending strength. The results thus motivate both an industrial implementation of the suggested method and further research aiming at more accurately determined board stiffness profiles.

Highlights

  • Structural timber is classified into specific strength grades using various methods available on the market

  • It is observed that the novel indicating properties (IPs) candidates Eb,min, Eb,min,80, Eb,min,80,w and Ea,min are considerably lower than the mean values for Em, Em,g, and Ea1

  • High resolution information regarding local fibre orientation on face and edge surfaces of wooden boards can nowadays be sampled in a speed corresponding to the production speed at a sawmill

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Summary

Introduction

Structural timber is classified into specific strength grades using various methods available on the market. The statistical relationships being utilized today between the indicating properties (IP) and the target bending strength are rather weak. In commercially available machine strength grading systems, the coefficient of determination, R2, between the IPs and the bending strength typically lies in the range of 0.5–0.6 for Norway spruce. With the most advanced systems known to the market, using a multitude of sensors and measurement principles, values above R2 = 0.7 can be achieved but such systems are rarely used in practice. Improvements of the coefficient of determination between the IPs and the bending strength have a considerable commercial potential as higher accuracy would make it possible to efficiently grade timber into higher strength classes than what can be done today, and a better yield would be achieved in the more common strength classes

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