Measuring System for Optical 3D Deformation Analysis

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Optical 3D Deformation Analysis

OMA Company’s ARAMIS helps users to better understand material and component behavior and is ideally suited for monitoring experiments with high temporal and local resolution. ARAMIS is a non-contact and material independent measuring system providing 3D surface coordinates, 3D displacements and velocities, surface strain values, and strain rates.
Unlike other techniques, ARAMIS is a robust solution for full-field analysis of small specimens (mm) and up to large components (multiple 10 m). Measurements are carried out independently from geometry and temperature without timeconsuming and expensive specimen preparation.
ARAMIS is the solution for determination of material properties, component analysis, verification of finite element analysis, and real-time controlling of testing devices.

 

Sub-pixel accurate image processing for 3D surface, displacement and strain measurement

ARAMIS evaluates high-resolution images recorded from any test object during loading. With the help of adjustment computations, a precise mathematical calibration model of the sensor setup is calculated including camera positions and lens distortion parameters.
The image processing is based on the principle of digital image correlation. Gray value distributions are calculated for a large amount of small subsets in each camera image and provide sub-pixel accurate positions about corresponding points between all images.
The mathematical model of the sensor setup, the digital image correlation method and a triangulation calculation are combined to derive highly accurate 3D coordinates. Subtracting the surface information in all loading stages in 3D space provides precise X,Y and Z displacement values.
Strains are calculated considering the component‘s geometry and plasticity theory. As the image acquisition is time-based, 3D velocities and strain rates are automatically achieved.
ARAMIS provides the measurement results as full-field 3D coordinates, displacement strains, fine resolution 3D mesh, plain strain tensor, and object contour based visualization.

 

 

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