Characterisation of wood-water relationships and transverse anatomy and their relationship to drying degrade.

Saved in:
Bibliographic Details
Title: Characterisation of wood-water relationships and transverse anatomy and their relationship to drying degrade.
Authors: Redman, Adam adam.redman@daf.qld.gov.au, Bailleres, Henri1, Turner, Ian, Perré, Patrick2
Source: Wood Science & Technology. Jul2016, Vol. 50 Issue 4, p739-757. 19p.
Subjects: Hardwood forests, Lumber drying, Wood quality, Fluid dynamic measurements, Porosity, Scanning electron microscopes, Plant anatomy
Abstract: Characterisation of a number of key wood properties utilising 'state of the art' tools was achieved for four commercial Australian hardwood species: Corymbia citriodora, Eucalyptus pilularis, Eucalyptus marginata and Eucalyptus obliqua. The wood properties were measured for input into microscopic (cellular level) and macroscopic (board level) vacuum drying models currently under development. Morphological characterisation was completed using a combination of ESEM, optical microscopy and a custom vector-based image analysis software. A clear difference in wood porosity, size, wall thickness and orientation was evident between species. Wood porosity was measured using a combination of fibre and vessel porosity. A highly sensitive microbalance and scanning laser micrometres were used to measure loss of moisture content in conjunction with directional shrinkage on micro-samples of E. obliqua to investigate the validity of measuring collapse-free shrinkage in very thin sections. Collapse-free shrinkage was characterised, and collapse propensity was verified when testing thicker samples. Desorption isotherms were calculated for each species using wood-water relations data generated from shrinkage experiments. Fibre geometry and wood shrinkage anisotropy were used to explain the observed difficulty in drying of the different species in terms of collapse and drying stress-related degrade. [ABSTRACT FROM AUTHOR]
Copyright of Wood Science & Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Be the first to leave a comment!
You must be logged in first