VIC-Volume, a new addition to the VIC product line, leverages X-Ray or CT-Scanner images (as well as other volumetric imaging systems) to assess internal deformation in a specimen subjected to an applied load. By analyzing the acquired images, VIC-Volume generates three-dimensional volumetric displacement and strain data, providing a comprehensive contour plot of deformation. This data can be visualized, animated, and extracted for Finite Element Analysis (FEA) validation.
Technology Background
Digital volume correlation (DVC) is a quantitative image analysis technique for measuring internal deformation of a volume from image slices acquired via an X-Ray or CT scanner. The theory is similar to 2D and 3D DIC analysis, except the z dimension (through the material) is added allowing for full characterization of the material. To achieve this measurement the DVC algorithm tracks displacement information from small volumes called voxels, similar to pixel subset tracking in 2D and 3D DIC analysis. These voxels are the building blocks of the sub-volume. Image matching is then performed to locate sub-volumes in a series of images with optimal accuracy. The voxel matching is performed through minimization or maximization of a metric function that quantifies the level of similarity in sub-volumes between the reference and deformed volumetric images. The result is a 3D volumetric data set containing the selected strain tensor variables, which now includes the z strain components (Exz, Eyz, & Ezz).
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