Wood Science and Technology

, Volume 50, Issue 4, pp 739–757 | Cite as

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

  • Adam L. RedmanEmail author
  • Henri Bailleres
  • Ian Turner
  • Patrick Perré


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.


Moisture Content Wood Property Basic Density Cell Wall Thickness Fibre Saturation Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The substantial contributions of AgroParisTech Nancy, Queensland University of Technology (QUT), Forest and Wood Products Australia (FWPA) and the Queensland Government Department of Agriculture and Fisheries (DAF), to the successful undertaking of this collaborative project are gratefully acknowledged.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Adam L. Redman
    • 1
    • 2
    Email author
  • Henri Bailleres
    • 2
  • Ian Turner
    • 1
    • 3
  • Patrick Perré
    • 4
  1. 1.School of Mathematical Sciences, Faculty of Science and TechnologyQueensland University of Technology (QUT)BrisbaneAustralia
  2. 2.Agri-Science Queensland, Department of Agriculture and FisheriesQueensland GovernmentSalisburyAustralia
  3. 3.Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS)Queensland University of Technology (QUT)BrisbaneAustralia
  4. 4.LGPM, CentraleSupelecUniversité Paris-SaclayChâtenay-MalabryFrance

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