Analysis of Powders and Particles

Volume rendering of gravel
© Fraunhofer ITWM
Volume rendering of separate pieces of gravel. The false coloring demonstrates the segmentation of individual grains. μ-CT ProCon XRay.

MAVI comes with a set of algorithms enabling the segmentation of three dimensional image data of powders and particles. Common questions e.g. regarding the shape or size distributions of these objects can be addressed. Length, width, and height of complex shaped particles can be derived robustly from the edge lengths of the minimal bounding cuboid.

In the ZIM project "Development of innovative high performance grout based on the criteria of grain shape through new 3D image data measuring and analyzing techniques" the Fraunhofer ITWM develops algorithms for a robust and as far as possible automatic extraction of the compound's important parameters from 3D image data.

Characterization of particles in 3D: Maximum Feret diameter
© Fraunhofer ITWM
Characterization of particles in 3D: Maximum Feret diameter
Characterization of particles in 3D: Maximum elongation
© ITWM
Characterization of particles in 3D: Maximum elongation
Characterization of particles in 3D: Maximal local thickness
© Fraunhofer ITWM
Characterization of particles in 3D: Maximal local thickness

Publications

  • Vecchio, I.; Schladitz, K.; Godehardt, M.; Heneka, M.:
    3D Geometric Characterization of Particles Applied to Technical Cleanliness.
    Image Analysis & Stereology, Volume 31, n.3, pp.163-174, (2012).

  • O. Weber, A. Rack, C. Redenbach, M. Schulz, O. Wirjadi:
    Micropowder Injection Molding: Investigation of Powder-Binder Separation Using Synchrotron-Based Microtomography and 3D Image Analysis.
    J. Materials Science, 46 (10), pp. 3568-3573, (2011).