Abstract
Digital volume correlation (DVC) can be implemented via micro-computed tomography (μ-CT) to resolve 3D strains. For proper correlation, microstructure detail is required. This study aims to provide a methodology for obtaining optimal DVC image datasets for composite materials by adding contrast particles to an epoxy resin. Image segmentation was utilized to ensure each particle met analysis DVC baselines. Particles with sizes of 10, 25, 50 and 200 μm were investigated. The 25 μm copper particles provided the greatest accuracy. These particles were embedded into an epoxy sample with a hole and subjected to uniaxial compression. Downsampled μ-CT and full-resolution datasets were compared to demonstrate processing strategies for DVC analysis.
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