A number of rule-of-mixture micromechanical models have been successfully used to predict the mechanical properties of short fiber composites. However, in order to obtain accurate predictions, a detailed description of the internal structure of the material is required. This information is often obtained from optical microscopy of polished cross-sections of a composite. This approach gives accurate yet local results, but a rather large number of optical images have to be processed to achieve a representative description of the morphology of the material. In this work a fully automatic algorithm for estimating the length-diameter distribution of solid or hollow fibers, utilizing three-dimensional X-ray tomographic images, is presented. The method is based on a granulometric approach for fiber length distribution measurement, combined with a novel algorithm that relates cross-sectional fiber properties to fiber length. The work opens up a possibility to assess multivariate distributions of fiber length and diameter, cross-sectional area or other microstructural fiber properties. As an example, the description of the microstructure of different composites with natural fibers is presented, along with verification of the results.
|Journal||Proceedings of the Risø International Symposium on Materials Science|
|Publication status||Published - 2013|
|Event|| 34th Risø International Symposium on Materials Science: Processing of fibre composites – challenges for maximum materials performance - Technical University of Denmark, Risø Campus, Roskilde, Denmark|
Duration: 2 Sep 2013 → 5 Sep 2013
|Conference||34th Risø International Symposium on Materials Science|
|Location||Technical University of Denmark, Risø Campus|
|Period||02/09/2013 → 05/09/2013|
Miettinen, A., Joffe, R., Madsen, B., Nättinen, K., & Nättinen, K. (2013). Quantitative analysis of length-diameter distribution and cross-sectional properties of fibers from three-dimensional tomographic images. Proceedings of the Risø International Symposium on Materials Science, 34, 303-311.