DIC Camera Systems

Digital image correlation for dynamic 3D applications

Camera-based stereoscopic 3D shape, stress and deformation measurement

Measure elongation and deformation visually without contact

DIC systems (digital image correlation) can be used very flexibly regardless of the shape, temperature and size of the measuring object and can measure strains in the microstrain range (sub-micrometers) using microscope optics, as well as strain factors of several 100%, or even extreme measurement rates with high-speed cameras. Using the method of digital image correlation (grey value correlation, near-field photogrammetry), they can be used for both 2D and 3D applications. Typical applications from industry and research are motion and deformation analysis, material characterization, component testing and photogrammetric measurements. Measurements include tensile, compressive and bending tests, impact and pressure wave analyses, crack detection, fluid-structure interaction, fatigue analysis and under-surface defect detection.

Polytec offers two 3D DIC systems that complement each other perfectly:

  • The StrainMaster Portable System, consisting of individual components, can be optimally configured for any application and offers maximum flexibility.
  • The StrainMaster Compact System impresses with its compact, integrated design with minimal setup time and easy operation at a particularly low price.

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Photogenic Patterning

For applications where the usual speckle pattern does not work due to the nature of the sample, Polytec offers a special solution.

If there are shadows on the object, reflective or wet surfaces or if no primer can be applied to the surface, such as biological surfaces like skin, fur, etc., the “photogenic patterning” developed by LaVision can be used.

To do this, a speckle pattern with fluorescent paint is applied to the surface, which generates its own light emission. Since the emitted light usually has a longer wavelength than that used for excitation, it is possible to isolate the fluorescence pattern and evaluate it using algorithms tailored to it for digital image correlation. A primer is not required and shadows due to the nature of the sample surface or geometry are no longer critical.

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