Journal article
A new approach for predicting board MOE from increment cores
Annals of Forest Science, Vol.78, pp.1-16
2021
Abstract
Key message Increment cores can provide improved predictive capabilities of the modulus of elasticity (MOE) of sawn boards. Multiple increment cores collected at different heights in a tree provide marginally increased accuracy over a single breast-height core, with higher labour costs. Approximately 50% of the variability of the static bending MOE of individual boards is explained by the predicted MOE obtained from a single increment core taken at breast height. Context Prediction of individual board MOE can lead to accurate optimisation of the value extracted from forest resources, and enhanced decision-making on the management and allocation of the resource to different processors, and improve the processors ability to optimise grade allocation. Aims The objective of this study is to predict the MOE of individual sawn boards from the MOE measured from cores collected from standing trees. Methods A five-parameter logistic (5PL) function and radial basis function interpolants are used to obtain a continuous distribution of MOE throughout a log. By developing a " virtual sawing " methodology, we predict the individual board MOE for sixty-eight trees consisting of locally developed F 1 and F 2 hybrid pines (Pinus caribaea var. hondurensis × Pinus elliottii var. elliottii). Results Moderate correlations for individual board predictions are observed, with R 2 values ranging from 0.47 to 0.53. Good correlations between average predicted board MOE and average measured MOE are also observed, with R 2 ≈ 0.83. A pseudo-three-dimensional approach, accounting for variation in height in the tree, affords marginally greater accuracy and predictive capability at the cost of increased data collection and processing. By using a single breast-height core, we can obtain a similar level of prediction of individual board MOE. Conclusion We have presented a novel non-destructive evaluation approach to predict the MOE of individual boards sawn from trees. This approach can be adapted to other wood properties, and other wood products obtained from trees.
Details
- Title
- A new approach for predicting board MOE from increment cores
- Authors
- Steven Psaltis (Corresponding Author) - Queensland University of TechnologyChandan Kumar (Author) - Queensland Department of Agriculture and FisheriesIan W Turner (Author) - Queensland University of TechnologyElliot J Carr (Author) - Queensland University of TechnologyTroy Farrell (Author) - Queensland University of TechnologyLoic Brancheriau (Author) - University of MontpellierHenri Bailleres (Author) - Hyne Timber Pty LtdDavid Lee (Author) - University of the Sunshine Coast, Queensland, Tropical Forests & People Research Centre
- Publication details
- Annals of Forest Science, Vol.78, pp.1-16
- Publisher
- Springer-Verlag France
- DOI
- 10.1007/s13595-021-01093-w
- ISSN
- 1297-966X
- Organisation Unit
- Forest Research Institute; University of the Sunshine Coast, Queensland; Tropical Forests & People Research Centre; Forest Industries Research Centre
- Language
- English
- Record Identifier
- 99572908702621
- Output Type
- Journal article
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