Microstructure Analysis

The microstructure of modern materials largely determines their macroscopic material properties. We develop algorithms for the characterization and stochastic modeling of such microstructures on the basis of image data.

Since 2000, algorithms have been developed at the Fraunhofer ITWM for the analysis of three-dimensional image data. In particular, the in-house computed tomography scanner provides high-resolution tomographies of material structures.

We use the results of the image analysis to geometrically model the observed structures. In doing so, we use stochastic models that represent microscopic variability in a natural way. These models enable microstructure optimization and virtual material design.

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, electron tomography, FIB-tomography

Selected Examples of Projects and Materials

 

Concrete

We develop methods that detect cracks in images of 10,000x10,000x2,000 voxels and track their growth.

 

Wood Species

Mathematics supports curb illegal timber trade.

 

Wood-Fiber Based Insulation

We are investigating the effects of fiber distribution in wood-fiber based insulating materials with the aim of improving thermal insulation.

 

Microstructure Design for Cell Separation

In the project »MaTBiZ«, we are trying to better understand the separation processes of biological cells using digital twins and 3D printing methods.

 

Cloudiness

The homogeneity of filter media is important for material selection and quality control. We developed a theoretically sound cloudiness index and a method to measure it from image data.

 

Nonwovens

We optimize the entire production chain of nonwoven fabrics using learning methods and process simulation.

 

Fiber Reinforced Composites

We 3D map fiber composites and analyze the fiber component using robust methods.

 

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

FIB-REM images nanostructures spatially. We reconstruct highly porous 3D structures from the image stacks.

 

Capillary Vascular Structures

Analyzing the microstructure of capillary blood vessels enables physicians to gain a deeper understanding of pathological changes such as fibrosis.

 

Granules and Pellets

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