Skip to main content

Research Repository

Advanced Search

Stochastic reconstruction of filament paths in fibre bundles based on two-dimensional input data

Gommer, Frank; Wedgwood, Kyle C.A.; Brown, Louise P.

Authors

Frank Gommer f.gommer@nottingham.ac.uk

Kyle C.A. Wedgwood pmxkw2@nottingham.ac.uk



Abstract

Conventional optical microscopy is an inexpensive technique to analyse fibre bundle micro-structures. Compared to micro-computed tomography, the resolution is higher and larger samples sizes can be analysed. This provides, for example, detailed information of filament spacing which will affect subsequent properties. This paper proposes a probabilistic method to reconstruct paths of individual filaments from a series of two-dimensional micrographs. This allows three-dimensional filament arrangements to be reconstructed and the effects of local arrangements on properties to be quantified. For example, for the small sample analysed in this work, a 15% difference in strength values was found.

Citation

Gommer, F., Wedgwood, K. C., & Brown, L. P. (2015). Stochastic reconstruction of filament paths in fibre bundles based on two-dimensional input data. Composites Part A: Applied Science and Manufacturing, 76, doi:10.1016/j.compositesa.2015.05.022

Journal Article Type Article
Publication Date Sep 1, 2015
Deposit Date Aug 26, 2015
Publicly Available Date Sep 1, 2015
Journal Composites Part A: Applied Science and Manufacturing
Print ISSN 1359-835X
Electronic ISSN 1359-835X
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 76
DOI https://doi.org/10.1016/j.compositesa.2015.05.022
Keywords Carbon fibre; Microstructures; Analytical modelling; Optical microscopy
Public URL http://eprints.nottingham.ac.uk/id/eprint/29642
Publisher URL http://www.sciencedirect.com/science/article/pii/S1359835X15001839
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0

Files


Bundle reconstruction OA Nottingham.pdf (9.2 Mb)
PDF

Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0





You might also like



Downloadable Citations