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Three-dimensional virtual reconstruction of timber billets from rotary peeling

Authors :
Gary P. Hopewell
Elliot J. Carr
Troy W. Farrell
Steven Psaltis
Ian Turner
Henri Bailleres
Source :
Computers and Electronics in Agriculture. 152:269-280
Publication Year :
2018
Publisher :
Elsevier BV, 2018.

Abstract

Accurately determining the timber properties for products prior to cutting the tree is difficult. In this work we discuss a method for reconstructing a timber billet virtually, including internal features, after it has been peeled into a full veneer (ribbon). This reconstruction process is the first stage in developing a mathematical model for the variation in timber properties within a given tree. The reconstruction of internal timber features is typically achieved through the use of computed tomography (CT) scanning. However, this requires the use of equipment that may be cost-prohibitive. Here we discuss an approach that utilises more readily available equipment for timber processors, including a spindleless lathe and digital SLR camera. In comparison to conventional scanning methods, this reconstruction method based on a destructive process has the key advantage of delivering high-resolution colour images. This reconstruction serves two purposes. Firstly, we are able to generate three-dimensional visualisations of the timber billet, to uncover internal structures such as knots, defects, insect or fungi attack, discoloration, resin etc. Secondly, the reconstruction allows us to map timber properties measured on the veneer to their original location within the billet. This allows us to locally inform the mapping with wood properties and subsequently derive their distribution throughout the billet. From this information it is then possible to extract any part of the billet and obtain the appearance and wood properties of any processed products. To validate our reconstruction process we show that we can obtain reasonable agreement between our predicted billet modulus of elasticity and that measured on the original billet.

Details

ISSN :
01681699
Volume :
152
Database :
OpenAIRE
Journal :
Computers and Electronics in Agriculture
Accession number :
edsair.doi...........706b86fe5969dc7cdccf301b95b59ca1
Full Text :
https://doi.org/10.1016/j.compag.2018.07.018