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A non-destructive X-ray microtomography approach for measuring fibre length in short-fibre composites
Department of Physics, University of Jyväskylä, Finland.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. (Centre for Image Analysis)
Paper and Fibre Research Institute, Trondheim, Norway.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Applied Mechanics.
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2012 (English)In: Composites Science And Technology, ISSN 0266-3538, E-ISSN 1879-1050, Vol. 72, no 15, 1901-1908 p.Article in journal (Refereed) Published
Abstract [en]

An improved method based on X-ray microtomography is developed for estimating fibre length distribution of short-fibre composite materials. In particular, a new method is proposed for correcting the biasing effects caused by the finite sample size as defined by the limited field of view of the tomographic devices. The method is first tested for computer generated fibre data and then applied in analyzing the fibre length distribution in three different types of wood fibre reinforced composite materials. The results were compared with those obtained by an independent method based on manual registration of fibres in images from a light microscope. The method can be applied in quality control and in verifying the effects of processing parameters on the fibre length and on the relevant mechanical properties of short fibre composite materials, e.g. stiffness, strength and fracture toughness. (C) 2012 Elsevier Ltd. All rights reserved.

Place, publisher, year, edition, pages
2012. Vol. 72, no 15, 1901-1908 p.
National Category
Paper, Pulp and Fiber Technology
Research subject
Engineering science with specialization in Applied Mechanics
Identifiers
URN: urn:nbn:se:uu:diva-181247DOI: 10.1016/j.compscitech.2012.08.008ISI: 000310943000016OAI: oai:DiVA.org:uu-181247DiVA: diva2:555511
Available from: 2012-09-20 Created: 2012-09-20 Last updated: 2017-12-07Bibliographically approved

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Luengo Hendriks, Cris L.Gamstedt, E. Kristofer

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