The biomassChemistryMSCFoam is an extended solver based on the official "coalChemistryFoam" solver, and our developed solver "biomassChemistryFoam". MSC stands for Meso Scale Coupling. It used a better coding structure and design to realize the coupling method in our previous publication [1] and [2].
Table of Contents
The DBM (diffusion based method) model and the virtualTGM (Two-grid method) can be directly used, the implementation principles are described in our previous publication "Computationally efficient coarse-graining XDEM/CFD modeling of fixed-bed combustion of biomass"
The steppedDBM model is not implemented.
The slidingGrid model requires another lib, which may not be public available. This method is developed by Jan Wilhelm Gärtner in university of stuttgart called Moving Average method. Please contact him for the additional lib, or delete everything related with this method if you are not using this method. Once you have the Moving Average lib replace the file with the same names in the addon.
A single particle case is added as a test and tutorial case for this slover.
This repo accepts updating. For example, correcting the coding style to the OpenFOAM style.
If you have any contribution to this repo, please fork the repo and create a pull request (to dev). You can also simply open an issue with the tag "improvement".
Besides coding, academic discussions through emails are most approciated.
Distributed under the GPLv3 License. (OpenFOAM license control)
Corinna Schulze-Netzer - [email protected]
Jingyuan Zhang - [email protected]
Tian Li - [email protected] / [email protected]
Research group: ComKin group at NTNU
If you want to use biomassChemistryMSCFoam in your research, you should cite the following papers:
- [1] Zhang J, Li T, Ström H, et al. Grid-independent Eulerian-Lagrangian approaches for simulations of solid fuel particle combustion[J]. Chemical Engineering Journal, 2020, 387: 123964.
- [2] Zhang J, Li T, Ström H, et al. A novel coupling method for unresolved CFD-DEM modeling[J]. International Journal of Heat and Mass Transfer, 2023, 203: 123817.