A low-cost digital image correlation technique for characterising the shear deformation of fabrics for draping studies

R. S. Pierce, B. G. Falzon, M. C. Thompson, R. Boman

Research output: Journal PublicationArticlepeer-review

19 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)180-189
Number of pages10
JournalStrain
Volume51
Issue number3
DOIs
Publication statusPublished - 1 Jun 2015
Externally publishedYes

Keywords

  • digital image correlation
  • fabrics/textiles
  • mechanical testing
  • shear behaviour

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering

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