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openHFDIB-DEM

!!! Updated and maintained code is available from: https://github.com/techMathGroup/openHFDIB-DEM !!!

Implementation of the Hybrid Fictitious Domain-Immersed Boundary (HFDIB) coupled with the Discrete Element Method (DEM) by

Martin Isoz (https://github.com/MartinIsoz) Martin Šourek (https://github.com/MSourek) Ondřej Studeník (https://github.com/OStudenik) and Petr Kočí (http://vscht.cz//monolith/)

Initial HFDIB implementation spans from

https://github.com/fmuni/openHFDIB

by Federico Municchi

however, the code was completely rewritten.

The DEM implementation for arbitrarily shaped solids into OpenFOAM is original.

Code capabilities

  • simulations with either spherical or STL-defined particles (see HFDIBDEM/geomModels)
  • simulations of two-phase (solid-fluid) flow via a proof-of-concept pimpleHFDIBDEMFoam (see pimpleHFDIBFOAM)
  • adaptive mesh refinement based on the particles position
  • spring-dashpot contact model based on particle elastic modulus and a damping constant (see HFDIBDEM/contactModels)
  • extension to contact model for inclusion of adhesive forces
  • multiple solid phase initialization options such as random spatial distribution of uniformly sized bodies (see HFDIBDEM/addModels)
  • instructive tutorials for a single particle falling through a fluid and for interaction between a particle and a complex-shaped impeller (see Tutorials)

Compatibility

The code is prepared for compilation with OpenFOAMv8 (https://openfoam.org/version/8/)

Compilation

Note: the scripts have to be ran from terminals with sourced OpenFOAMv8

  • compileAll.sh -> compiles openHFDIB-DEM and pimpleHFDIBDEM solver
  • compileLib.sh -> compiles openHFDIB-DEM library only
  • compileSol.sh -> compiles pimpleHFDIBDEM solver only (!! requires the library to be compiled !!)

Cite this work as

Isoz, M.; Šourek, M.; Studeník, O.; Kočí, P.: Hybrid fictitious domain-immersed boundary solver coupled with discrete element method for simulations of flows laden with arbitrarily-shaped particles. Submitted to Computers & Fluids, 2021.

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