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 65 articles )

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  1. Martínez, J.; Piscaglia, F.; Montorfano, A.; Onorati, A.; Aithal, S.M.: Influence of momentum interpolation methods on the accuracy and convergence of pressure-velocity coupling algorithms in $\textOpenFOAM^\circledR$ (2017)
  2. Burstedde, Carsten; Holke, Johannes: A tetrahedral space-filling curve for nonconforming adaptive meshes (2016)
  3. Kim, Jeongho; Antaki, James F.; Massoudi, Mehrdad: Computational study of blood flow in microchannels (2016)
  4. Kozelkov, A.S.; Kurkin, A.A.; Pelinovskij, E.N.: Effect of the angle of water entry of a body on the generated wave heights (2016)
  5. Lee, J.; Cookson, A.; Roy, I.; Kerfoot, E.; Asner, L.; Vigueras, G.; Sochi, T.; Deparis, S.; Michler, C.; Smith, N.P.; Nordsletten, D.A.: Multiphysics computational modeling in $\mathcalC\boldHeart$ (2016)
  6. Moukalled, F.; Mangani, L.; Darwish, M.: The finite volume method in computational fluid dynamics. An advanced introduction with OpenFOAM and Matlab (2016)
  7. Mueller, Jens-Dominik: Essentials of computational fluid dynamics (2016)
  8. Radtke, Lars; Larena-Avellaneda, Axel; Debus, Eike Sebastian; Düster, Alexander: Convergence acceleration for partitioned simulations of the fluid-structure interaction in arteries (2016)
  9. Brambilla, P.; Guardone, A.: Assessment of dynamic adaptive grids in volume-of-fluid simulations of oblique drop impacts onto liquid films (2015)
  10. Chen, Goong; Gu, Cong; Morris, Philip J.; Paterson, Eric G.; Sergeev, Alexey; Wang, Yi-Ching; Wierzbicki, Tomasz: Malaysia Airlines flight MH370: water entry of an airliner (2015)
  11. Dehning, Carsten; Bierwisch, Claas; Kraft, Torsten: Co-simulations of discrete and finite element codes (2015)
  12. Jamshed, S.: Using HPC for computational fluid dynamics. A guide to high performance computing for CFD engineers (2015)
  13. Kozelkov, A.S.; Kurkin, A.A.; Pelinovskij, E.N.; Kurulin, V.V.: Modeling the cosmogenic tsunami within the framework of the Navier-Stokes equations with sources of different types (2015)
  14. Liu, Wei; Chen, Qingyan: Optimal air distribution design in enclosed spaces using an adjoint method (2015)
  15. Mortensen, Mikael; Valen-Sendstad, Kristian: Oasis: a high-level/high-performance open source Navier-Stokes solver (2015)
  16. Nadukandi, Prashanth: Numerically stable formulas for a particle-based explicit exponential integrator (2015)
  17. Cardiff, P.; Karač, A.; Ivanković, A.: A large strain finite volume method for orthotropic bodies with general material orientations (2014)
  18. Chen, Goong; Xiong, Qingang; Morris, Philip J.; Paterson, Eric G.; Sergeev, Alexey; Wang, Yi-Ching: OpenFOAM for computational fluid dynamics (2014)
  19. Cornolti, L.; Lucchini, T.; Montenegro, G.; D’Errico, G.: A comprehensive Lagrangian flame-kernel model to predict ignition in SI engines (2014)
  20. García-Oliver, J.M.; Novella, R.; Pastor, J.M.; Winklinger, J.F.: Evaluation of combustion models based on tabulated chemistry and presumed probability density function approach for diesel spray simulation (2014)

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