Surface and Material Characterization

The microstructure of modern materials significantly influences their macroscopic material properties. We develop algorithms for the characterization and stochastic modeling of such microstructures based on three dimensional image data, e.g. CT, FIB-REM and REM. Our products are dedicated to a deeper understanding of the complex geometry and the structure-property relationships in materials, thus offer new possibilities such as the optimization of material properties by virtual material design.

Spatial image analysis is gaining in importance as more and more methods for the three-dimensional high-resolution imaging of different materials become available. At Fraunhofer ITWM since 2000, algorithms for the analysis of three-dimensional image data are being developed. High-resolution tomography data of material structures are provided by the in-house computer tomogaph.

Stochastic geometry models are adapted to the real microstructures based on the characteristics obtained from the image data. These models reflect the geometric structures well and thus simplify numerical simulations.

The MAVI (Modular Algorithms for Volume Images) software package, developed at Fraunhofer ITWM, for 3D image analysis is constantly being expanded. The software package ToolIP in combination with MAVIkit enables graphical algorithm development as well as batch processing for volume data.

Additionally to our software products from the MAVI family we offer the following services:

Quantitative geometric analysis of micro- or nanostructure using MAVI, resulting e. g. in:

  • volume fraction, porosity, specific surface area or connectivity of components
  • fibre length density and fibre orientation distribution
  • size and shape distribution of particles and cells
  • local porosity, local structure thickness

 

Acquisition of 3D Images:

  • micro computed tomography inhouse
  • with partners: phase contrast CT, confocal laser scanning microscopy, Electrontomography, FIB-tomography
     

Partners:

Examples of 3D Image Processing

 

Fiber Reinforced Composites

Fiber reinforced composites widely used in light weight design. Why?

 

Open Foams

3D image analysis for strut system and pore space provides input and validation data used in stochastic geometry models.

 

Closed Foams

Reliable statements on the geometry of the foam structure for the design, e.g. sandwich lightweight construction.

 

Lichens

How do lichens affect our climate? To improve the modeling, we analyze the geometric structure in 3D images.

 

Snow

How old is the firn sample? We search for an answer based on the spatial arrangement of pores.

 

Buiscuits Roses

Why do they not crumble when soaked?

 

FIB-SEM of Porous Structures

We develop reconstruction methods and validate them using synthetic FIB-SEM data sets.

 

Capillary Vascular Structures

3D image analysis allows us to describe blood vessel structures. Furthermore, we can distinguish between regular and affected vessels.

 

Granules and Pellets

The 3D shape of particles influences further processing decisively. How can the shape be captured and described?