Code and benchmarks for a vertically averaged drag term for pseudo-3D Stokes simulations

It utilizes .pgm files as input to generate numerical grids. These files should contain 8-bit grayscale values representing the relative height of a microfluidic cell, which can be derived from microscopy images of microfluidic experiments using appropriate image processing techniques. Using the .pgm files, the python module localdrag (see below) may be used to create the suitable drag prefactor fields lambda1 and lambda2 or the user can choose the analytical drag formulation.

For further details, refer to our publication (see below). Please check out the README for information on requirements, building DuMux including its submodule and examples. localdrag: python preprocessing module localdrag is a python module that generates geometry-informed prefactor maps for pseudo-3D Stokes simulations in DuMux, based on local pore morphology. It serves as a preprocessing tool for the DuMux module pseud3D_stokes and is automatically included when pseudo3D_stokes is cloned with the recurse-submodules option (recommended, see README).

Related datasets and repositories: POREMAPS, 3D Stokes solver used to create reference solutions: git repository, DaRUS dataset DuMux: Website, git repository Pseudo3D_Stokes: git repository Image dataset of micromodel with precipitation: DaRUS dataset, research paper localdrag python module for preprocessing and data handling: git repository Input data and results for all domains in Krach et al. (2024): DaRUS dataset