StrainMaster DVC Systems

LaVision's state-of-the-art Digital Volume Correlation (DVC) software brings new depth to quantitative imaging analysis. DVC is not only capable of identifying defects and cracks before they are visible in the raw image, but it is also able to quantify the full volume strain distribution and actual magnitudes of the material displacements surrounding discontinuities. The level of information is extremely useful in validating Finite Element models of modern complex materials. Volume images can be imported into the software from a variety of sources such as:


  • X-Ray Computed Tomography
  • Magnetic Resonance Imaging (MRI)
  • Optical Coherence Tomography (OCT)
  • Confocal Microscopy

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    Relating to the volume shown in the figure below, this sequence is a
    scan in the z direction showing image slices with corresponding
    calculated vector and strain planes. Data courtesy of Dr K. Madi /
    Prof J. Tong (University of Portsmouth) et al., presented at
    ECCOMAS - Int Conference on Tissue Engineering 2011, Lisbon.


    DVC tracks the displacement of the material structure pattern within the volume images. The algorithms used are extremely robust in terms of the appropriateness of the pattern type and DVC has successfully been applied to many materials.

    Applications

  • metallic foams
  • carbon composites
  • powders and granular materials
  • nuclear graphite
  • biological materials including bone and synthetic cornea
  • geological simulations


  • 3D representation of scaffold implant
    used for cartilage repair obtained using
    micro-computed tomography.

    Calculations are performed quickly and efficiently with full volume displacement fields typically calculated in less than 5 minutes. The software includes many useful features including visualisation of the volume correlation peak, and the ability to correct for rigid body displacements; essential where samples are removed from the imaging device to be loaded. Advanced masking also means that it is possible to isolate the complex material shapes from noisy background levels even if it includes complex three-dimensional curvature - quite often the case in biological applications.



    Features

  • local displacement precision better than 0.05 voxels
  • local strain precision better than 0.1%
  • ability to calculate very large images only limited by PC RAM
  • able to yield over 1 million displacement vectors per volume image pair
  • DVC has proved invaluable to LaVision customers in revealing a wealth of information about the previously immeasurable sub-surface displacements. DVC is the only experimental technique available to quantify these phenomena and is becoming a critical part of experimental mechanics analysis.

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