The dependence of macroscopic material properties on the microscopic material geometry is emerging as a key aspect in many current material optimization applications. The influence of geometry on the property is omnipresent:
- from fiber orientation
- the strut-thickness of sponges
- to effective stiffness and permeability tensors.
GeoDict is a generic approach to integrate the characterization of existing materials and the engineering of new materials. By basing the computation of material properties on 3d images, the ready availability of µCT images can be exploited as well as the relative ease of creating 3d images from analytic representations and surface triangulations of the micro-structures.
Several Powerful Concepts are Available:
- scripting language for parameter studies and optimization studies
- generic description language of analytic data
- conversion algorithms to surface triangulations
- segmented 3d images.
Furthermore, one has the choice of a multitude of integrated tools to convert abstract descriptions such as fiber diameter distribution, fiber orientation distribution and solid volume fractions into concrete 3d images, so-called realizations.
Prediction of Material Properties
Finally you can also use a multitude of integrated tools to predict material properties based on the geometry and constituent material properties. The prediction of material properties on the micro scale is the basis of accurate simulations of macroscopic properties.
The permeability simulation based on a drill core helps to understand the flow through an entire oil reservoir. The simulation of elasticity tensors based on fiber orientation leads to a better prediction of the strength of fiber-reinforced materials.