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Automatic Mesh Generation

Automatic & fast

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FlowVision’s mesh generation algorithm starts with initial grid which is automatically built in the minute when CAD is introduced. Users are allowed to alter initial grid sizes throughout the computational domain and obtain variable size density distribution of initial grid elements by means of a very skillful and easy-to-use Initial Grid Editor.

Subsequently, initial grid elements can be adapted in required locations automatically where user is only required to address those areas geometrically. Resultantly, any kind of manual work is avoided and computational/solution grid is automatically formed accompanied with the start of solver.

Initial grid and computational grid are two different but complementary aspects of FlowVision, initial grid divides the whole region into Cartesian sections of different sizes whereas computational grid is evolved from initial grid by fitting external and internal boundaries.

The afore-mentioned sizing capability via Initial Grid Editor and extensive fitting and adapting capabilities as a part of computational grid generation poses no risk about simplifying or de-featuring CAD boundaries. Moreover, all the sub-steps are uniquely different from traditional CFD meshing since user is only required to enter sizes of initial grid elements and mark adaptation regions without considering CAD fitting, multi-region interfacing or similar aspects.

SGGR & CAD preservation


Thanks to unique grid generation technology, SGGR (Sub Grid Geometry Resolution); FlowVision is capable of easily and quickly building meshes around any type of complex CAD geometry without any simplifications or de-featuring. Mesh generation, based on SGGR technique, maintains original CAD geometry through the meshing process as a result of which boundaries are not described by the mesh discretization but by the original CAD geometry.  In this way we can track and resolve all dimensionality problems in the simulation domain (resolve elements much smaller than the size of the smallest element) without going through complex de-featuring processes. Resultantly, even the most complex CAD geometries are, inherently, simulated with high accuracy in FlowVision.



In addition to initial grid generation; FlowVision allows adaptation of mesh elements by several means; refinement of grid elements close to the boundaries, adaptation in any additional arbitrary 3D volumes defined by the user and real-time adaptation of the mesh driven by the solution depending on gradients and values of any flow parameter (velocity, pressure, temperature, etc.).

Moving bodies

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Another advantage of SGGR technology is modeling of moving bodies. The moving body definition can include large movements and deformations including the modeling of thin clearances (effectively resolving dimensionality problems in the simulation domain) and bodies coming to a full contact (such as closing/opening of valves in a combustion chamber).


Realistic Simulations

Moving bodies


Simulation of moving bodies can be performed directly in FlowVision through either a kinematics or dynamics approach. Any arbitrary shaped object can be defined as a moving body with 6-DOF motions determined by user-defined velocities, user-defined forces and/or fluid-induced forces.

Free Surface Tracking


Traditionally, free surface regions are defined by VOF (volume of fluid) ratios ranging from 0 to 1 and resultantly a free surface is approximated based on VOF value distribution. On the other hand, FlowVision Advanced VOF Method accurately resolves and reconstructs the free surface topology even at a sub-grid (sub-element) level. Accompanied with the SGGR meshing technology, the fluid mass is fully conserved in FlowVision calculations, thus achieving ultimate accuracy.

Advanced VOF consists of cell splitting by free surface and reconstruction based on VOF function. Resultantly, FlowVision works with real free surfaces where boundary conditions between phases are specified. In other words, FlowVision does not approximate free surface region only with respect to VOF value (0-1), percentage existence of phases. What FlowVision does is reconstruction of free surface in a cell using SGGR method.

Another uniqueness of FlowVision Advanced VOF Method is related to regions geometrically away from free surface with VOF>0 in this case FlowVision allows for conversion to droplets and calculates movement of these droplets through the computational domain. In following time steps, these droplets can join back to bulk flow resulting in realistic multiphase flow simulations.

Flexible Control of Solver

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FlowVision provides possibility to use different solver configurations (in different parts of the simulation domain) to fast obtain the most reliable simulation results and to minimize computational effort. For example, a user can simulate one part of a domain with turbulence models while the remaining parts are modeled as laminar. Or one can simulate heat transfer with a time step larger than time step used to solve turbulence equations



As a result of SGGR mesh generation; a natural link is automatically formed with FE (finite element) mesh and FlowVision simulation domain allowing strongly coupled FSI (fluid-structure interactions). Full integration between ABAQUS CSE (Computational Simulation Engine) and FlowVision MPM (Multi Physics Manager) provides co-simulation mechanisms addressing most complex FSI simulations. Without any need for a 3rd party component (such as MPCCI), FlowVision MPM drives the process by controlling the data transfer, by starting/restarting both solvers and providing feedback on the simulation progress

Clearance model

Thin clearances are often present in flow domains and resolving them with traditional meshing significantly augments computational costs. Furthermore, in many cases, mesh generators are incapable of handling these areas. FlowVision’s unique Gap Model applies a sub-grid model in small clearances which allows calculation of flow properties on regular mesh. FlowVision Gap Model is capable of accurately simulating flows in very thin clearances down to length-to-scale ratios of 10^-6 and dimensions down to 10^-6 meters.

Conjugate Heat & Mass Transfer

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With flexible multi-region modeling in FlowVision, different sub-regions containing different phases are easily specified. Once fluid and solid sub-regions are defined, conjugate heat transfer between phases is accurately modeled. In addition, more than one substance can be defined in any phase which allows mass transfer calculations including mixing, combustion and any user defined chemical reactions.

EHD; ElectroHydroDynamics

FlowVision EHD solver is used for calculation of a variety of phenomena such as:

  • Stationary Electric Fields
  • Ponderomotive Forces
  • Joule (ohmic) Heating
  • Motion of Electrically Charged Bodies in Electric Field
Simulating an EHD problem in FlowVision; dependence of electrical conductivity end dielectric permittivity on concentration of agents, temperature, etc. can be observed or distribution of electric potential and electric field strength can be visualized in computational volume.

State of the Art Technology

High level of scalability

FlowVision solver is optimized to operate on multiple-processor clusters and ensures highest level of accuracy and performance. Thanks to cooperation of unique grid approach and powerful solver; FlowVision enables CFD tasks to be performed in the fastest way possible. Consequently, complex R&D simulations can be converted to applicable engineering practices.

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FlowVision CFD software can operate under both Linux and Windows platforms. The installation takes only few minutes time and due to modular structure, offers a lot of flexibility to users and IT managers. FlowVision licensing mechanism offers flexibility to use multiple solver licenses in the most efficient way. Depending on user preference; only one solver can run on all available processors or multiple solvers can run in parallel through sharing available processors.

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FlowVision, allowing dynamic geometry movement and change, provides automated shape optimization through integration with industry-proven 3rd party optimization software such as IOSO and major CAD systems which can be driven by design tables.


For more information and to learn more about FlowVision’s unique capabilities and technology; please contact your local FlowVision reseller or a Capvidia office close to your location.

Simulating an EHD problem in FlowVision; dependence of electrical conductivity end dielectric permittivity on concentration of agents, temperature, etc. can be observed or distribution of electric potential and electric field strength can be visualized in computational volume.

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