Time-resolved X-ray microtomographic measurement of water transport in wood-fibre reinforced composite material
Abstract
Natural fibre composites are prone to absorb moisture from the environment which
may lead to dimensional changes, mold growth, degradation of mechanical properties or other
adverse effects. In this work we develop a method for direct non-intrusive measurement of local
moisture content inside a material sample. The method is based on X-ray microtomography,
digital image correlation and image analysis. As a first application of the method we study axial
transport of water in a cylindrical polylactic acid/birch pulp composite material sample with
one end exposed to water. Based on the results, the method seems to give plausible estimates of
water content profiles inside the cylindrical sample. The results may be used, e.g., in developing
and validating models of moisture transport in biocomposites.
Main Authors
Format
Conferences
Conference paper
Published
2016
Series
Subjects
Publication in research information system
Publisher
Institute of Physics Publishing Ltd.
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-201609124066Käytä tätä linkitykseen.
Review status
Peer reviewed
ISSN
1757-8981
DOI
https://doi.org/10.1088/1757-899X/139/1/012037
Conference
Risø International Symposium on Materials Science
Language
English
Published in
IOP Conference Series : Materials Science and Engineering
Is part of publication
37th Risø International Symposium on Materials Science
Citation
- Miettinen, A., Harjupatana, T., Kataja, M., Fortino, S., & Immonen, K. (2016). Time-resolved X-ray microtomographic measurement of water transport in wood-fibre reinforced composite material. In B. Madsen, A. Biel, Y. Kusano, H. Lilholt, L. Mikkelsen, L. Mishnaevsky, & B. Sørensen (Eds.), 37th Risø International Symposium on Materials Science (Article 012037). Institute of Physics Publishing Ltd.. IOP Conference Series : Materials Science and Engineering, 139. https://doi.org/10.1088/1757-899X/139/1/012037
Copyright© the Authors, 2016. Published under licence by IOP Publishing Ltd. This is an open access article distributed under the terms of a Creative Commons License.