ConductoDict computes effective conductivity of porous and composite materials through two sub-modules:
- ThermoDict computes the effective thermal conductivity. The thermal conductivity of the constituent materials and the direction(s) of conduction are user-defined. By solving one partial differential equation per direction of interest, ThermoDict computes how the spatial distribution of these different heat conduction capacities influences the overall heat conduction capacity of the composite material in the specified direction(s) of conduction. As output, it assigns a single, effective heat conduction tensor to the whole data set.
- ElectroDict computes the effective electrical conductivity from the electrical conductivity of the constituent materials.
ConductoDict also provides an export to perform conductivity simulations with the third-party software Fluent.
Examples of ConductoDict applications
Many industrial applications (e.g. thermal insulation, carbon nano-tubes) and research projects successfully use the ConductoDict algorithm. Publications include the heat transfer properties of medium density fiberboard (MDF) samples, cast iron microstructures, gas diffusion layer in fuel cells, and the electrical conductivity of Ag/SnO.
FIB-SEM 2D view of a curved fiber structure
Model of a curved fiber structure
Simulation of temperature distribution in a curved fiber structure
Simulation of temperature distribution in rockwool
Additional modules needed?
The GeoDict Base package is needed for basic functionality.
- ConductoDict works on 3D (micro-) structure models that can either be a segmented 3D image (µCT-scan, FIB-SEM) imported with the ImportGeo-VOL module, or a 3D material model created with one of the GeoDict Modules for Digital Material Design, e.g. the FiberGeo module for nonwovens, GrainGeo for granular and sintered structures and sphere-packings, or FoamGeo for foams.