ANSYS-CFX

ANSYS CFX software is a high-performance, general purpose fluid dynamics program that has been applied to solve wide-ranging fluid flow problems for over 20 years. At the heart of ANSYS CFX is its advanced solver technology, the key to achieving reliable and accurate solutions quickly and robustly. The modern, highly parallelized solver is the foundation for an abundant choice of physical models to capture virtually any type of phenomena related to fluid flow. The solver and its many physical models are wrapped in a modern, intuitive, and flexible GUI and user environment, with extensive capabilities for customization and automation using session files, scripting and a powerful expression language


References in zbMATH (referenced in 108 articles )

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  1. Abdolmaleki, Mohamad; Mashhadian, Ali; Amiri, Sorosh; Esfahanian, Vahid; Afshin, Hossein: Numerical-experimental geometric optimization of the Ahmed body and analyzing boundary layer profiles (2022)
  2. Elizabeth Julia Monte, Alexandru Andrei Vasile, James Lowman, Nasser Mohieddin Abukhdeir: OpenCMP: An Open-Source Computational Multiphysics Package (2022) not zbMATH
  3. Khouya, Bassou; El-Amrani, Mofdi; Seaid, Mohammed: A conservative and monotone characteristic finite element solver for three-dimensional transport and incompressible Navier-Stokes equations on unstructured grids (2022)
  4. Mustafa, Jawed; Alqaed, Saeed; Sharifpur, Mohsen: Numerical study on performance of double-fluid parabolic trough solar collector occupied with hybrid non-Newtonian nanofluids: investigation of effects of helical absorber tube using deep learning (2022)
  5. Girfoglio, Michele; Quaini, Annalisa; Rozza, Gianluigi: A POD-Galerkin reduced order model for a LES filtering approach (2021)
  6. Ma, Yu; Wang, Yahui; Yang, Junhe: ntkfoam: an OpenFOAM based neutron transport kinetics solver for nuclear reactor simulation (2021)
  7. Nagy, Péter Tamás; Szabó, András; Paál, György: A feedback model of the edge tone, using the adjoint Orr-Sommerfeld equation (2021)
  8. Caulk, Robert; Scholtès, Luc; Krzaczek, Marek; Chareyre, Bruno: A pore-scale thermo-hydro-mechanical model for particulate systems (2020)
  9. Kumar, Nitesh; Khader, S. M. Abdul; Pai, R.; Khan, S. H.; Kyriacou, P. A.: Fluid structure interaction study of stenosed carotid artery considering the effects of blood pressure (2020)
  10. Liao, Yixiang: Update to the MUSIG model in ANSYS CFX for reliable modelling of bubble coalescence and breakup (2020)
  11. Luo, Li; Cai, Xiao-Chuan; Yan, Zhengzheng; Xu, Lei; Keyes, David E.: A multilayer nonlinear elimination preconditioned inexact Newton method for steady-state incompressible flow problems in three dimensions (2020)
  12. Alizadeh, Amer; Wang, Moran: A generalized local grid refinement approach for modeling of multi-physicochemical transports by lattice Boltzmann method (2019)
  13. Ayyildiz, M.; Saydam, A. Z.; Ozbulut, M.: A numerical study on the hydrodynamic performance of an immersed foil: uncertainty quantification of RANS and SPH methods (2019)
  14. Charnyi, Sergey; Heister, Timo; Olshanskii, Maxim A.; Rebholz, Leo G.: Efficient discretizations for the EMAC formulation of the incompressible Navier-Stokes equations (2019)
  15. Deparis, Simone; Deville, Michel O.; Menghini, Filippo; Pegolotti, Luca; Quarteroni, Alfio: Application of the rosenbrock methods to the solution of unsteady 3D incompressible Navier-Stokes equations (2019)
  16. 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)
  17. Portelenelle, B.; Botella, O.; Cheny, Y.: Accurate discretization of diffusion in the LS-STAG cut-cell method using diamond cell techniques (2019)
  18. Schosser, C.; Klingl, S.; Lecheler, S.; Fuchs, T.; Hain, R.; Kähler, C.; Pfitzner, M.: Comprehensive investigation of the flow in a narrow gap between co-rotating disks (2019)
  19. Simonsen, A. S.; Deen, N. G.; Sørensen, K.; Condra, T.; Rosendahl, L.: Trajectory integrated smoothening of exchange fields for discrete phase simulations (2019)
  20. Araya, Rodolfo; Rebolledo, Ramiro: An a posteriori error estimator for a LPS method for Navier-Stokes equations (2018)

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