FlowDict computes digital flow experiments and post-processes the results to calculate effective material properties such as permeability.

Five categories of experiments can be performed in FlowDict:

1. Prediction of mean flow velocity for a given pressure drop (Wiegmann et al., 2010),
2. Prediction of pressure drop for a given mean flow velocity (Wiegmann et al., 2010),
3. Prediction of the full or partial permeability tensor,
4. Prediction of the volumetric flow rates for given pressures at the inlet and outlet, and
5. Prediction of the pressure for given volumetric flow rates at the inlet and outlet.

 

A flow experiment in FlowDict consists of three sets of input parameters:

1. A three-dimensional representation of a structure or material (geometry model),
2. An incompressible, i.e., with constant density, Newtonian fluid (gas or liquid with constant viscosity), and
3. The experimental process parameters, such as mass flow rate (or flow velocity) and flow direction.