Article (Scientific journals)
A Low-Cost Digital Image Correlation Technique for Characterising the Shear Deformation of Fabrics for Draping Studies
Pierce, R. S.; Falzon, B. G.; Thompson, M. C. et al.
2015In Strain, 51 (3), p. 180-189
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Keywords :
digital image correlation; fabrics; textiles; mechanical testing; shear behaviour
Abstract :
[en] A novel digital image correlation (DIC) technique has been developed to track changes in textile yarn orientations during shear characterisation experiments, requiring only low-cost digital imaging equipment. Fabric shear angles and effective yarn strains are calculated and visualised using this new DIC technique for bias extension testing of an aerospace grade, carbon-fibre reinforcement material with a plain weave architecture. The DIC results are validated by direct measurement, and the use of a wide bias extension sample is evaluated against a more commonly used narrow sample. Wide samples exhibit a shear angle range 25% greater than narrow samples and peak loads which are 10 times higher. This is primarily due to excessive yarn slippage in the narrow samples; hence, the wide sample configuration is recommended for characterisation of shear properties which are required for accurate modelling of textile draping
Disciplines :
Materials science & engineering
Author, co-author :
Pierce, R. S.;  Monash University > Department of Mechanical and Aerospace Engineering
Falzon, B. G.;  Queen’s University Belfast > School of Mechanical and Aerospace Engineering
Thompson, M. C.;  Monash University > Department of Mechanical and Aerospace Engineering
Boman, Romain  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Département d'aérospatiale et mécanique
Language :
English
Title :
A Low-Cost Digital Image Correlation Technique for Characterising the Shear Deformation of Fabrics for Draping Studies
Publication date :
June 2015
Journal title :
Strain
ISSN :
0039-2103
eISSN :
1475-1305
Publisher :
John Wiley & Sons
Volume :
51
Issue :
3
Pages :
180-189
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 30 March 2015

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