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A novel image analysis procedure for measuring fibre misalignment in unidirectional fibre composites

A novel image analysis procedure for measuring fibre misalignment in unidirectional fibre composites
A novel image analysis procedure for measuring fibre misalignment in unidirectional fibre composites
A novel image analysis procedure named Fourier transform misalignment analysis (FTMA) for measuring fibre misalignment in unidirectional fibre composites is presented. Existing methods are briefly illustrated and evaluated. The FTMA-method is presented, describing the specimen preparation and elaborating how the image analysis algorithm uses Fourier transformation and a least squares method to compute single fibre orientations. On the basis of parameter investigations the robustness of the FTMA-method is investigated. Software generated micrographs with known fibre misalignment are used to determine the precision of the method. The precision is used, along with computation time and memory usage, tobenchmark the FTMA-method against the existing multiple field image analysis (MFIA) method. It is found that the FTMA-method is at least as accurate as existing methods. Furthermore, the FTMA-method is much faster than the existing methods, completing a typical analysis in approximately 1 min. Overall, it is concluded that the FTMA-method is a robust, precise and time efficient tool for determining fibre misalignment in unidirectional fibre composites, offering a higher degree of detail than the existing MFIA-method.
carbon fibres, polymer-matrix composites, strength, optical microscopy, pultrusion
0266-3538
228-238
Kratmann, K.K.
0ad834aa-3770-42d9-8b9a-2f00b5ad5fa7
Sutcliffe, MP.F.
6f97e308-fd20-4728-9f8a-8802a08d597b
Lilleheden, L.T.
19559b2c-d47d-4518-8c1b-42c4ffa155f2
Pyrz, R.
e830cbe7-aa02-4e47-ae95-0bccba01ae26
Thomsen, O.T.
f3e60b22-a09f-4d58-90da-d58e37d68047
Kratmann, K.K.
0ad834aa-3770-42d9-8b9a-2f00b5ad5fa7
Sutcliffe, MP.F.
6f97e308-fd20-4728-9f8a-8802a08d597b
Lilleheden, L.T.
19559b2c-d47d-4518-8c1b-42c4ffa155f2
Pyrz, R.
e830cbe7-aa02-4e47-ae95-0bccba01ae26
Thomsen, O.T.
f3e60b22-a09f-4d58-90da-d58e37d68047

Kratmann, K.K., Sutcliffe, MP.F., Lilleheden, L.T., Pyrz, R. and Thomsen, O.T. (2009) A novel image analysis procedure for measuring fibre misalignment in unidirectional fibre composites. Composites Science and Technology, 69 (2), 228-238. (doi:10.1016/j.compscitech.2008.10.020).

Record type: Article

Abstract

A novel image analysis procedure named Fourier transform misalignment analysis (FTMA) for measuring fibre misalignment in unidirectional fibre composites is presented. Existing methods are briefly illustrated and evaluated. The FTMA-method is presented, describing the specimen preparation and elaborating how the image analysis algorithm uses Fourier transformation and a least squares method to compute single fibre orientations. On the basis of parameter investigations the robustness of the FTMA-method is investigated. Software generated micrographs with known fibre misalignment are used to determine the precision of the method. The precision is used, along with computation time and memory usage, tobenchmark the FTMA-method against the existing multiple field image analysis (MFIA) method. It is found that the FTMA-method is at least as accurate as existing methods. Furthermore, the FTMA-method is much faster than the existing methods, completing a typical analysis in approximately 1 min. Overall, it is concluded that the FTMA-method is a robust, precise and time efficient tool for determining fibre misalignment in unidirectional fibre composites, offering a higher degree of detail than the existing MFIA-method.

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More information

Published date: February 2009
Keywords: carbon fibres, polymer-matrix composites, strength, optical microscopy, pultrusion
Organisations: Engineering Mats & Surface Engineerg Gp

Identifiers

Local EPrints ID: 339094
URI: https://eprints.soton.ac.uk/id/eprint/339094
ISSN: 0266-3538
PURE UUID: 234f9b34-a516-47c5-b93a-3ad8ad51bb05

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Date deposited: 23 May 2012 10:15
Last modified: 18 Jul 2017 05:55

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