3D topographical analysis for defect detection during loading of woven thermoplastic composites

The behaviour of the local weave architecture during large deformation influences the final composite properties, but this architecture is challenging to measure experimentally. In this work, a technique is proposed to examine the local out-of-plane topography of woven composites to improve defect and damage detection during deformation, using digital image correlation (DIC). Three load cases are presented to demonstrate the technique: tension-torsion in a universal testing machine, varied deformation mode testing, and thermoforming, the latter two both using a hemispherical forming apparatus. Topographical results are found for all cases and show features that are not visible in the surface strain map, providing additional insight into weave response and defect progression. These topographical features include edge delamination, local fibre waviness under biaxial deformation, and undulating weave architecture under thermo-mechanical loading.

Automated summary

A technique using digital image correlation (DIC) is proposed to examine the local out-of-plane topography of woven composites, improving defect and damage detection during deformation. Experimental results show additional insight into weave response and defect progression, including edge delamination, local fiber waviness, and undulating weave architecture.