GeoDict – The Digital Material Laboratory


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.


Battery Charging Simulations With GeoDict 

Our cooperation with M2M (Math2Market) was significantly strengthened in 2017 in the area of battery simulations to more closely integrate Fraunhofer ITWM's BEST (Battery and Electrochemistry Simulation Tool) with GeoDict from M2M. This cooperation resulted 2018 in the new GeoDict module »BatteryDict«, which controls the BEST solver algorithms and is completely integrated into GeoDict. Subsequently, the GeoDict2019 version has been expanded to provide for electrodes made from different active materials (electrode blends) and additional material classes (conductive additives). For GeoDict2020 the BESTmicro solver was significantly accelerated and its memory requirements reduced. It also features a fast estimation of the dynamic cell potential. For the latest GeoDict2021 BESTmicro is now able to treat the carbon-binder-domain as porous material.