Cfd software wiki

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Cfd software wiki

An overview of both free and commercial CFD software. Here you will find short descriptions of codes along with links to resources. Note to contributers: Please try to keep descriptions short and to the point approximately words and avoid long lists of features or capabilities.

Also note that all information should be verifiable and objective truths that also competitors to the code in question will agree upon. This is especially important if you are an employee of the company selling the code. This section lists codes that are in the public domain, and codes that are available under GPL, BSD or similar licenses. Jump to: navigationsearch. Views Page Discussion View source History. My wiki Log in. Contents 1 Free codes 1.

Applied Computational Fluid Dynamics -- Solver homepage. CalculiX -- CalculiX homepage. Dolfyn -- dolfyn a 3D unstructured general purpose solver - homepage. Dune -- Distributed and Unified Numerics Evironment - homepage.

Requires knowledge of weak forms of governing equations. FOILincom: A fast and robust program for solving two dimensional inviscid steady incompressible flows potential flows over isolated airfoils -- FOILincom homepage.

FOILcom: A fast and robust program for solving two dimensional subsonic subcritical inviscid steady compressible flows over isolated airfoils -- FOILcom homepage. MFIX -- Computational multiphase flow homepage. OpenFlower -- OpenFlower homepage. Internal "foam" format; convert from ansys, cfx4, dat, fluent3d, fluentMesh, gambit, gmsh, ideasUnv, kiva, msh, netgenNeutral, plot3d, samm, star3, star4, tetgen.

Computational fluid dynamics

Palabos -- Palabos homepage. Structured and unstructured grids.Computational fluid dynamics CFD is a branch of fluid mechanics that uses numerical analysis and data structures to analyze and solve problems that involve fluid flows.

Computers are used to perform the calculations required to simulate the free-stream flow of the fluid, and the interaction of the fluid liquids and gases with surfaces defined by boundary conditions. With high-speed supercomputersbetter solutions can be achieved, and are often required to solve the largest and most complex problems. Ongoing research yields software that improves the accuracy and speed of complex simulation scenarios such as transonic or turbulent flows.

Initial validation of such software is typically performed using experimental apparatus such as wind tunnels. In addition, previously performed analytical or empirical analysis of a particular problem can be used for comparison.

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A final validation is often performed using full-scale testing, such as flight tests. CFD is applied to a wide range of research and engineering problems in many fields of study and industries, including aerodynamics and aerospace analysis, weather simulationnatural science and environmental engineeringindustrial system design and analysis, biological engineeringfluid flows and heat transferand engine and combustion analysis.

The fundamental basis of almost all CFD problems is the Navier—Stokes equationswhich define many single-phase gas or liquid, but not both fluid flows. These equations can be simplified by removing terms describing viscous actions to yield the Euler equations. Further simplification, by removing terms describing vorticity yields the full potential equations.

Finally, for small perturbations in subsonic and supersonic flows not transonic or hypersonic these equations can be linearized to yield the linearized potential equations. Historically, methods were first developed to solve the linearized potential equations.

Two-dimensional 2D methods, using conformal transformations of the flow about a cylinder to the flow about an airfoil were developed in the s. One of the earliest type of calculations resembling modern CFD are those by Lewis Fry Richardsonin the sense that these calculations used finite differences and divided the physical space in cells.

Although they failed dramatically, these calculations, together with Richardson's book "Weather prediction by numerical process", [2] set the basis for modern CFD and numerical meteorology.

The computer power available paced development of three-dimensional methods. Probably the first work using computers to model fluid flow, as governed by the Navier-Stokes equations, was performed at Los Alamos National Labin the T3 group. Harlowwho is widely considered as one of the pioneers of CFD.

From to late s, this group developed a variety of numerical methods to simulate transient two-dimensional fluid flows, such as Particle-in-cell method Harlow,[6] Fluid-in-cell method Gentry, Martin and Daly,[7] Vorticity stream function method Jake Fromm,[8] and Marker-and-cell method Harlow and Welch, The first paper with three-dimensional model was published by John Hess and A.

Smith of Douglas Aircraft in Their method itself was simplified, in that it did not include lifting flows and hence was mainly applied to ship hulls and aircraft fuselages. The advantage of the lower order codes was that they ran much faster on the computers of the time. It has been used in the development of many submarinessurface shipsautomobileshelicoptersaircraftand more recently wind turbines.

Its sister code, USAERO is an unsteady panel method that has also been used for modeling such things as high speed trains and racing yachts. In the two-dimensional realm, a number of Panel Codes have been developed for airfoil analysis and design. The codes typically have a boundary layer analysis included, so that viscous effects can be modeled. Developers turned to Full Potential codes, as panel methods could not calculate the non-linear flow present at transonic speeds. The first description of a means of using the Full Potential equations was published by Earll Murman and Julian Cole of Boeing in Many Full Potential codes emerged after this, culminating in Boeing's Tranair A code, [29] which still sees heavy use.

The next step was the Euler equations, which promised to provide more accurate solutions of transonic flows. This code first became available in and has been further developed to design, analyze and optimize single or multi-element airfoils, as the MSES program.

The Navier—Stokes equations were the ultimate target of development. CFD can be seen as a group of computational methodologies discussed below used to solve equations governing fluid flow. In the application of CFD, a critical step is to decide which set of physical assumptions and related equations need to be used for the problem at hand.

cfd software wiki

Thermal radiation is neglected, and body forces due to gravity are considered unless said otherwise. In addition, for this type of flow, the next discussion highlights the hierarchy of flow equations solved with CFD.

Note that some of the following equations could be derived in more than one way.This is a list of software packages that implement the finite element method for solving partial differential equations.

cfd software wiki

This table is contributed by a FEA-compare [16] project, which provides an alternative view of this table with the first row and Feature column being fixed for ease of table exploration.

From Wikipedia, the free encyclopedia. The problems are defined in terms of their variational formulation and can be easily implemented using FreeFEM language. It focuses on modeling of contact mechanics and discontinuities e. Yves Renard, Julien Pommier 5. Wolfram Research MFEM team 4. SDC Verifier 5. LaTeX documentation available in PDFs Doxygen, Markdown, example codes, test inputs Tutorial, demos, book Online FEATool documentation, tutorials, and model examples Mesh mesh elements: Intervals 1D ; triangles, quadrilaterals 2D and 3D boundaries ; tetrahedra, pyramids, prisms, hexahedra 3d segments, triangles, quadrilaterals, tetrahedra, hexahedra, prisms intervals, triangles, tetrahedra, quads, hexes, prisms, some 4D elements, easily extensible.

Second-order is the default for most cases. Internal extrusion and mesh multiplication on parallel level. Mesh adaptation on the whole or parts of the geometry, for stationary, eigenvalue, and time-dependent simulations and by rebuilding the entire mesh or refining chosen mesh elements.

List of finite element software packages

Lagrange elements of any order, continuous and discontinuous; Nedelec and Raviart-Thomas elements of any order; BDM and Bernstein; elements composed of other elements.

Gauss-Legendre 1D and tensor product rules in 2D and 3D tabulated up to 44th-order to high precision, best available rules for triangles and tetrahedra to very high order, best available monomial rules for quadrilaterals and hexahedra.

Explicit methods: forward Euler, 3rd and 4th order Runge-Kutta. Export to VisIt and ParaView. Possibility to perform complex slices. Touchstone data for networks. ExodusII, Xdr, etc. Algebraic and geometric multigrid. Block ILU preconditioning. A large number of Bilinear and Linear forms Model bricks: Laplace, linear and nonlinear elasticity, Helmholtz, plasticity, Mindlin and K.

Retrieved Categories : Scientific simulation software Engineering software companies Finite element software Numerical analysis Lists of software. Namespaces Article Talk. Views Read Edit View history. Help Community portal Recent changes Upload file.

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Download as PDF Printable version. Italiano Deutsch Edit links.CD-adapco was a multinational computer software company that authored and distributed applications used for computer-aided engineeringbest known for its computational fluid dynamics CFD products.

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A nalysis and D esign Ap plication Co mpany adapco was founded in New York in as an engineering consultancy company focusing on Finite Element Method analysis [4]. Inadapco invested in and began to collaborate with Computational Dynamics, a start-up company formed by members of a CFD research group at Imperial College, London. Eventually the two companies began to jointly trade under the name CD-adapco [5].

This substantially reduces the need for expensive desktop computers—a requirement of some other similar packages [10]. Even in periods of major economic downturn, few customers cut back on annual licenses. Competing products often consist of separate solvers coupled together, which requires that both be kept in agreement; a time-consuming complication that degrades accuracy.

In a partnership with the United States Department of EnergyCD-adapco developed an expert system to model and analyze solid oxide fuel cells [12]. From Wikipedia, the free encyclopedia. The neutrality of the style of writing in this article is questioned. Please do not remove this message until conditions to do so are met. August Learn how and when to remove this template message. Professional Engineering Magazine.

Retrieved Desktop Engineering. Archived from the original on March 14, Retrieved October 1, May 6, October 1, Automotive Design and Production. Archived from the original on CFD Review.OpenFlower literaly Open Source Flow Solver is a free open-source finite volume Computational Fluid Dynamics software, mainly devoted to the resolution of the turbulent incompressible Navier-Stokes equations, with scalar transport.

OpenFlower

It can deal with arbitrary complex geometries with hybrid meshes supporting tetrahedrals, prisms, pyramids and hexahedralsand is mainly devoted to the large eddy simulation of turbulent flows. OpenFlower is interfaced with Gmsh pre- post-processing and Tecplot post-processing. OpenFlower development was first launched on february by some CFD research engineers, willing to encourage common effort in research and developments in the area of Computational Fluid Dynamics.

The main reason for this was among other things to federate the work of a multitude of PhD students and scientists who develop their own specific and effective codes, but which one day or the other will vanish as they change area of interest, or become unusable as time passes by Moreover, the general trend shows that only some expensive commercial codes are available to treat complex geometries, whereas scientists in research labs can only mainly rely on these to accomplish research contracts with industry, when their home applications can only solve specific academic applications.

OpenFlower development will mainly rely on:. The scientific exchange of thousands of researchers and students of numerous fields of interest and skills can only be benefic in such an open-source code development environment, which surely will become an interesting way around closed commercial CFD codes.

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The main strength of OpenFlower is not only its open-source community working and hacking on it, but also a reliable colloborative framework and a well documented source of information for the fast development in the code and understanding its basic concepts and implemented physical modelings.

Jump to: navigationsearch. Views Page Discussion View source History. My wiki Log in.February 23, by Waliur Rahman. Mixed convection in lid driven cavity. August 14, by RajaHannan. How to define a hole as boundary condition in Ansys Fluent using Fluent an mesh only?

Nagu Sattenapalli. August 12, by Nagu Sattenapalli. Pressure Computation in ACM. August 3, by RajaHannan. Time step calculation. Noman Hafeez. November 22, by mitro. Operating pressure. July 15, by panand Question about an equation on the wiki introduction to turbulent pages. February 24, by JoshuaB. Conduction through different layers on workbench. February 23, by HoussameYi.

Donated text: Master Thesis. August 16, by askpro. December 21, by dsprakash January 29, by pete.

cfd software wiki

Better organization of Convective Term approximation schemes. March 15, by Michail. May I'll create a sandbox for approximation schemes of convection term section? November 7, by Michail. Please help to edit Latex equation in Turbulence section. October 8, by Michail. September 14, by pete. September 7, by jeremyding. Spam on the main page.

August 14, by pete.

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Why my password in CFD-Wiki was changed? August 4, by Michail. I can't access my personal pages. Template problems after updates.

June 12, by pete. November 29, by Michail. November 20, by pete.Computational fluid dynamics CFD is the use of computers to analyse problems in fluid dynamics.

cfd software wiki

The most fundamental consideration in CFD is how one treats a continuous fluid in a discretized fashion on a computer. One method is to discretize the spatial domain into small cells to form a volume mesh or gridand then apply a suitable algorithm to solve the equations of motion Euler equations for inviscid, and Navier-Stokes equations for viscid flow.

In addition, such a mesh can be either irregular for instance consisting of triangles in 2D, or pyramidal solids in 3D or regular; the distinguishing characteristic of the former is that each cell must be stored separately in memory. Lastly, if the problem is highly dynamic and occupies a wide range of scales, the grid itself can be dynamically modified in time, as in adaptive mesh refinement methods. It is possible to directly solve the Navier-Stokes equations for laminar flow cases and for turbulent flows when all of the relevant length scales can be contained on the grid a direct numerical simulation.

In general however, the range of length scales appropriate to the problem is larger than even today's massively parallel computers can model. In these cases, turbulent flow simulations require the introduction of a turbulence model.

In many instances, other equations mostly convective-diffusion equations are solved simultaneously with the Navier-Stokes equations. These other equations can include those describing species concentrationchemical reactionsheat transferetc. The stability of the chosen discretization is generally established numerically rather than analytically as with simple linear problems.

Special care must also be taken to ensure that the discretization handles discontinuous solutions gracefully. The Euler and Navier-Stokes equations both admit shocks, and contact surfaces. Direct numerical simulation DNS captures all of the relevant scales of turbulent motion, so no model is needed for the smallest scales.

This approach is extremely expensive, if not intractable, for complex problems on modern computing machines, hence the need for models to represent the smallest scales of fluid motion. An ensemble version of the governing equations is solved, which introduces new apparent stresses known as Reynolds stress. This adds a second order tensor of unknowns for which various models can provide different levels of closure.

It is commonl misconception that these equations are 'time-averaged', and that therefore the RANS equations do not apply to flows with a time-varying mean flow. This is false, and statistically unsteady on non-stationary flows can equally be treated. There is nothing inherent in Reynolds averaging to preclude this, but the turbulence models used to close the equations are valid only as long as the time over which these changes in the mean occur is large compared to the time scales of the turbulent motion containing most of the energy.

Large eddy simulations LES is a technique in which the smaller eddies are filtered and are modeled using a sub-grid scale model, while the larger energy carrying eddies are simulated. Regions near solid boundaries and where the turbulent length scale is less than the maximum grid dimension are assigned the RANS mode of solution. As the turbulent length scale exceeds the grid dimension, the regions are solved using the LES mode.

Therefore the grid resolution is not as demanding as pure LES, thereby considerably cutting down the cost of the computation. The basic solution of the system of equations arising after discretization is accomplished by many of the familiar algorithms of numerical linear algebra. One can either use a stationary iterative method, like symmetric Gauss-Seidel or successive overrelaxationor a Krylov subspace method.

In the latter, the solution residual is minimized on an orthogonal basis for a subspace of the non-linear operator. Krylov subspace methods are generally used with a preconditioner and an inner Newton iteration.

Unfortunately for non-linear problems, the orthogonal basis can not be constructed with short recurrences as in the plain conjugate gradient method and the entire sequence of vectors must be stored. The techniques are widely used by engineers designing or analysing devices that interact with fluidsuch as vehicles, pumps, chemical apparatus or ventilation systems. There are numerous commercial software packages to solve the Navier Stokes Equations.


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