OpenFOAM

The OpenFOAM® (Open Field Operation and Manipulation) CFD Toolbox is a free, open source CFD software package produced by OpenCFD Ltd. It has a large user base across most areas of engineering and science, from both commercial and academic organisations. OpenFOAM has an extensive range of features to solve anything from complex fluid flows involving chemical reactions, turbulence and heat transfer, to solid dynamics and electromagnetics. It includes tools for meshing, notably snappyHexMesh, a parallelised mesher for complex CAD geometries, and for pre- and post-processing. Almost everything (including meshing, and pre- and post-processing) runs in parallel as standard, enabling users to take full advantage of computer hardware at their disposal. By being open, OpenFOAM offers users complete freedom to customise and extend its existing functionality, either by themselves or through support from OpenCFD. It follows a highly modular code design in which collections of functionality (e.g. numerical methods, meshing, physical models, …) are each compiled into their own shared library. Executable applications are then created that are simply linked to the library functionality. OpenFOAM includes over 80 solver applications that simulate specific problems in engineering mechanics and over 170 utility applications that perform pre- and post-processing tasks, e.g. meshing, data visualisation, etc.


References in zbMATH (referenced in 280 articles )

Showing results 1 to 20 of 280.
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  1. Andrew Abi-Mansour: PyGran: An object-oriented library for DEM simulation and analysis (2019) not zbMATH
  2. Capuano, Francesco; Palumbo, Andrea; de Luca, Luigi: Comparative study of spectral-element and finite-volume solvers for direct numerical simulation of synthetic jets (2019)
  3. Ferreira, Gabriel G. S.; Lage, Paulo L. C.; Silva, Luiz Fernando L. R.; Jasak, Hrvoje: Implementation of an implicit pressure-velocity coupling for the Eulerian multi-fluid model (2019)
  4. Gaikwad, Pranit; Sreedhara, S.: OpenFOAM based conditional moment closure (CMC) model for solving non-premixed turbulent combustion: integration and validation (2019)
  5. Isaev, Sergey; Baranov, Paul; Popov, Igor; Sudakov, Alexander; Usachov, Alexander; Guvernyuk, Sergey; Sinyavin, Alexei; Chulyunin, Alexei; Mazo, Alexander; Demidov, Dennis; Dekterev, Alexander; Gavrilov, Andrey; Shebelev, Alexander: Numerical simulation and experiments on turbulent air flow around the semi-circular profile at zero angle of attack and moderate Reynolds number (2019)
  6. Kim, Minwoo; Lim, Jiseop; Kim, Seungtae; Jee, Solkeun; Park, Jaeyoung; Park, Donghun: Large-eddy simulation with parabolized stability equations for turbulent transition using OpenFOAM (2019)
  7. Lotfian, Ali; Roohi, Ehsan: Radiometric flow in periodically patterned channels: fluid physics and improved configurations (2019)
  8. Rezaeiravesh, S.; Mukha, T.; Liefvendahl, M.: Systematic study of accuracy of wall-modeled large eddy simulation using uncertainty quantification techniques (2019)
  9. Riella, M.; Kahraman, R.; Tabor, G. R.: Near-wall modelling in Eulerian-Eulerian simulations (2019)
  10. Singh, Ranjit J.; Gohil, Trushar B.: The numerical analysis on the development of Lorentz force and its directional effect on the suppression of buoyancy-driven flow and heat transfer using openfoam (2019)
  11. Vevek, U. S.; Zang, B.; New, T. H.: On alternative setups of the double Mach reflection problem (2019)
  12. Yang, Qi; Zhao, Peng; Ge, Haiwen: reactingfoam-SCI: an open source CFD platform for reacting flow simulation (2019)
  13. Zahiri, Amir-Pouyan; Roohi, Ehsan: Anisotropic minimum-dissipation (AMD) subgrid-scale model implemented in openfoam: verification and assessment in single-phase and multi-phase flows (2019)
  14. Aboukhedr, M.; Georgoulas, A.; Marengo, M.; Gavaises, M.; Vogiatzaki, K.: Simulation of micro-flow dynamics at low capillary numbers using adaptive interface compression (2018)
  15. Adrian R.G. Harwood, Joseph O’Connor, Jonathan Sanchez Muñoz, Marta Camps Santasmasas, Alistair J. Revell: LUMA: A many-core, Fluid–Structure Interaction solver based on the Lattice-Boltzmann Method (2018) not zbMATH
  16. Aguerre, Horacio J.; Márquez Damián, Santiago; Gimenez, Juan M.; Nigro, Norberto M.: Development of a parallelised fluid solver for problems with mesh interfaces and deforming domains (2018)
  17. Alinovi, Edoardo; Bottaro, Alessandro: A boundary element method for Stokes flows with interfaces (2018)
  18. Anumolu, Lakshman; Trujillo, Mario F.: Gradient augmented level set method for phase change simulations (2018)
  19. Araújo, M. S. B.; Fernandes, C.; Ferrás, L. L.; Tuković, Ž.; Jasak, H.; Nóbrega, J. M.: A stable numerical implementation of integral viscoelastic models in the OpenFOAM(^\circledR) computational library (2018)
  20. Araya, Rodolfo; Rebolledo, Ramiro: An a posteriori error estimator for a LPS method for Navier-Stokes equations (2018)

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