Prediction of transport properties of wood below the fiber saturation point – a multiscale homogenization approach and its experimental validation. Part II: steady state moisture diffusion coefficient

Eitelberger, J. and Hofstetter, K. (2011) Prediction of transport properties of wood below the fiber saturation point – a multiscale homogenization approach and its experimental validation. Part II: steady state moisture diffusion coefficient. Composites Science and Technology, 71(2), pp. 145-151. (doi: 10.1016/j.compscitech.2010.11.006)

Abstract

In this publication a multiscale homogenization model for moisture transport in wood is developed and validated. The model aims at prediction of macroscopic transport properties of clear wood samples from their microstructure and the physical properties of a few microscale constituents. In the first part of this two-part paper, the theoretical background and fundamentals of the model were presented, and its specification for the estimation of macroscopic thermal conductivities was shown. In this second part the model is applied to steady state moisture diffusion below the fiber saturation point. The model starts on a scale of about 50 μm, where the wood cells form a honeycomb-like structure. In a first homogenization step the effective moisture transport behavior of the cell structure is determined from moisture diffusion properties of the cell walls and the (moist) air in lumens, respectively. Further homogenization steps account for the larger vessels that exist in hardwood species, the annual rings which are a succession of layers with different densities, and finally wood rays, that form pathways in the radial direction throughout the stem. The model validation rests on experiments as in the case of heat conduction: The macroscopic diffusion coefficients predicted by the multiscale homogenization model for tissue-specific composition data (input data set II) are compared to corresponding experimentally determined tissue-specific diffusion coefficients under steady state conditions (experimental data set). As for thermal conductivity, the good agreement of model predictions and test data underlines the suitability of the presented multiscale model.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: De Borst, Dr Karin
• Authors: Eitelberger, J., and Hofstetter, K.
• College/School: College of Science and Engineering > School of Engineering > Infrastructure and Environment
• Journal Name: Composites Science and Technology
• ISSN: 0266-3538