FEATool Multiphysics

Last updated
FEATool Multiphysics
Developer(s) Precise Simulation
Stable release
1.17 / 30 September 2024 (2024-09-30)
Repository github.com/precise-simulation/featool-multiphysics
Written in MATLAB, C, Fortran
Operating system Windows, Linux, Mac OSX
Type Computer-aided engineering (CAE), multiphysics, finite element analysis (FEA), simulation software
Website www.featool.com [1]

FEATool Multiphysics ("Finite Element Analysis Toolbox for Multiphysics") is a physics, finite element analysis (FEA), and partial differential equation (PDE) simulation toolbox. [2] FEATool Multiphysics features the ability to model fully coupled heat transfer, fluid dynamics, chemical engineering, structural mechanics, fluid-structure interaction (FSI), electromagnetics, as well as user-defined and custom PDE problems in 1D, 2D (axisymmetry), or 3D, all within a graphical user interface (GUI) or optionally as script files. [3] FEATool has been employed and used in academic research, [4] [5] teaching, [6] [7] and industrial engineering simulation contexts. [8]

Contents

Distinguishing features

FEATool Multiphysics is a fully integrated physics and PDE simulation environment where the modeling process is subdivided into six steps; preprocessing (CAD and geometry modeling), mesh and grid generation, physics and PDE specification, boundary condition specification, solution, and postprocessing and visualization. [9]

1. Geometry Mode2. Grid Mode3. Multiphysics Mode
Geometry generation and CAD import 01-geometry-cad-mode-featool-multiphysics-matlab-gui.png
Geometry generation and CAD import
Automatic mesh and grid generation 02-grid-mesh-generation-mode-featool-multiphysics-matlab-gui.png
Automatic mesh and grid generation
Subdomain, equation, and coefficient specification 03-equation-subdomain-mode-featool-multiphysics-matlab-gui.png
Subdomain, equation, and coefficient specification
4. Boundary Mode5. Solve Mode6. Post Mode
Boundary condition specification 04-boundary-mode-featool-multiphysics-matlab-gui.png
Boundary condition specification
Solution of PDE systems 05-solve-mode-featool-multiphysics-matlab-gui.png
Solution of PDE systems
Postprocessing and visualization of results 06-postprocessing-visualization-mode-featool-multiphysics-matlab-gui.png
Postprocessing and visualization of results

OpenFOAM and SU2 CFD & multi-solver interfaces

FEATool has introduced a multi-simulation/solver feature whereby integrated interfaces (UI) to popular open-source solvers are available. This enables several solvers to be used from a single unified GUI and CLI without requiring detailed knowledge of the syntax or peculiarities of each solver.

The CFD solver interfaces allows fluid dynamics problems to be solved with the finite volume CFD solvers OpenFOAM [10] and SU2. Using the SU2 and OpenFOAM GUI [11] interfaces automatically converts fluid dynamics models to compatible corresponding mesh, boundary, and control dictionary files, runs simulations, and afterwards imports and interpolates the resulting solutions back into the toolbox. In this way more advanced, larger, and parallel CFD models, for example including turbulence, can be simulated without leaving the FEATool interface.

FEniCS multiphysics solver interface

Similar to the OpenFOAM and SU2 solver interfaces, FEATool also features a fully integrated interface to the FEniCS general FEM and multiphysics solver. [12] Using the FEATool-FEniCS interface, as both codes feature PDE definition languages, multiphysics problems can automatically be translated and converted to FEniCS Python definition files, after which the FEniCS solver is called, and the resulting solution re-imported.

Fully scriptable CLI interface

GUI operation is recorded as equivalent function calls, and therefore in addition to binary formats, FEATool simulation models can also be saved and exported as fully scriptable and editable MATLAB compatible m-script files. [13] The short MATLAB script below illustrates how a complete flow around a cylinder computational fluid dynamics (CFD) benchmark problem can be defined and solved with the FEATool m-script functions (including geometry, grid generation, problem definition, solving, and postprocessing all in a few lines of code). [14] [15] [16] Specifically, custom partial differential equations (PDE) and expressions can simply be entered and evaluated as string expressions as-is, without need for further compilation or writing custom functions. [17]

% Geometry and mesh generation.fea.sdim={'x''y'};fea.geom.objects={gobj_rectangle(0,2.2,0,0.41,'R1'),...gobj_circle([0.20.2],0.05,'C1')};fea=geom_apply_formula(fea,'R1-C1');fea.grid=gridgen(fea,'hmax',0.02);% Problem definition (incompressible Navier-Stokes equations multiphysics mode).fea=addphys(fea,@navierstokes);% Prescribe fluid viscosity (density is default 1).fea.phys.ns.eqn.coef{2,end}={0.001};% Boundary conditions (Non-specified boundaries are% per default prescribed no-slip zero velocity walls).% Inflow (bc type 2) at boundary 4.fea.phys.ns.bdr.sel(4)=2;% Outflow (bc type 3, zero pressure) at boundary 2.fea.phys.ns.bdr.sel(2)=3;% Parabolic inflow profile x-velocity expression.fea.phys.ns.bdr.coef{2,end}{1,4}='4*0.3*y*(0.41-y)/0.41^2';% Check, parse, and solve problem.fea=parsephys(fea);fea=parseprob(fea);fea.sol.u=solvestat(fea);% Alternatively solve with OpenFOAM or SU2% fea.sol.u = openfoam( fea );% fea.sol.u = su2( fea );% Postprocessing and visualization.postplot(fea,'surfexpr','sqrt(u^2+v^2)',...'arrowexpr',{'u''v'})p_cyl_front=evalexpr('p',[0.15;0.2],fea);p_cyl_back=evalexpr('p',[0.25;0.2],fea);delta_p_computed=p_cyl_front-p_cyl_backdelta_p_reference=0.117520

External mesh generator interfaces

Similar to the external solver interfaces, FEATool features built-in support for the Gmsh [18] and Triangle [19] mesh generators. If requested instead of the built-in mesh generation algorithm, [20] FEATool will convert and export appropriate Gridgen2D, Gmsh, or Triangle input data files, call the mesh generators through external system calls, and re-import the resulting grids into FEATool.

Other distinguishing features

See also

Related Research Articles

Numerical methods for partial differential equations is the branch of numerical analysis that studies the numerical solution of partial differential equations (PDEs).

<span class="mw-page-title-main">COMSOL Multiphysics</span> Physics and engineering software package

COMSOL Multiphysics is a finite element analyzer, solver, and simulation software package for various physics and engineering applications, especially coupled phenomena and multiphysics. The software facilitates conventional physics-based user interfaces and coupled systems of partial differential equations (PDEs). COMSOL Multiphysics provides an IDE and unified workflow for electrical, mechanical, fluid, acoustics, and chemical applications.

<span class="mw-page-title-main">Mesh generation</span> Subdivision of space into cells

Mesh generation is the practice of creating a mesh, a subdivision of a continuous geometric space into discrete geometric and topological cells. Often these cells form a simplicial complex. Usually the cells partition the geometric input domain. Mesh cells are used as discrete local approximations of the larger domain. Meshes are created by computer algorithms, often with human guidance through a GUI, depending on the complexity of the domain and the type of mesh desired. A typical goal is to create a mesh that accurately captures the input domain geometry, with high-quality (well-shaped) cells, and without so many cells as to make subsequent calculations intractable. The mesh should also be fine in areas that are important for the subsequent calculations.

<span class="mw-page-title-main">Fluid–structure interaction</span>

Fluid–structure interaction (FSI) is the interaction of some movable or deformable structure with an internal or surrounding fluid flow. Fluid–structure interactions can be stable or oscillatory. In oscillatory interactions, the strain induced in the solid structure causes it to move such that the source of strain is reduced, and the structure returns to its former state only for the process to repeat.

A CFD-DEM model is suitable for the modeling or simulation of fluid-solids or fluid-particles systems. In a typical CFD-DEM model, the phase motion of discrete solids or particles is obtained by the Discrete Element Method (DEM) which applies Newton's laws of motion to every particle and the flow of continuum fluid is described by the local averaged Navier–Stokes equations that can be solved by the traditional Computational Fluid Dynamics (CFD). The model is first proposed by Tsuji et al. The interactions between the fluid phase and solids phase is better modeled according to Newton's third law.

<span class="mw-page-title-main">FEniCS Project</span>

The FEniCS Project is a collection of free and open-source software components with the common goal to enable automated solution of differential equations. The components provide scientific computing tools for working with computational meshes, finite-element variational formulations of ordinary and partial differential equations, and numerical linear algebra.

<span class="mw-page-title-main">Finite element method</span> Numerical method for solving physical or engineering problems

The finite element method (FEM) is a popular method for numerically solving differential equations arising in engineering and mathematical modeling. Typical problem areas of interest include the traditional fields of structural analysis, heat transfer, fluid flow, mass transport, and electromagnetic potential. Computers are usually used to perform the calculations required. With high-speed supercomputers, better solutions can be achieved, and are often required to solve the largest and most complex problems.

code_saturne is a general-purpose computational fluid dynamics free computer software package. Developed since 1997 at Électricité de France R&D, code_saturne is distributed under the GNU GPL licence. It is based on a co-located finite-volume approach that accepts meshes with any type of cell and any type of grid structure.

Image-based meshing is the automated process of creating computer models for computational fluid dynamics (CFD) and finite element analysis (FEA) from 3D image data. Although a wide range of mesh generation techniques are currently available, these were usually developed to generate models from computer-aided design (CAD), and therefore have difficulties meshing from 3D imaging data.

<span class="mw-page-title-main">ScanIP</span>

Synopsys Simpleware ScanIP is a 3D image processing and model generation software program developed by Synopsys Inc. to visualise, analyse, quantify, segment and export 3D image data from magnetic resonance imaging (MRI), computed tomography (CT), microtomography and other modalities for computer-aided design (CAD), finite element analysis (FEA), computational fluid dynamics (CFD), and 3D printing. The software is used in the life sciences, materials science, nondestructive testing, reverse engineering and petrophysics.

<span class="mw-page-title-main">Gmsh</span>

Gmsh is a finite-element mesh generator developed by Christophe Geuzaine and Jean-François Remacle. Released under the GNU General Public License, Gmsh is free software.

<span class="mw-page-title-main">KIVA (software)</span>

KIVA is a family of Fortran-based computational fluid dynamics software developed by Los Alamos National Laboratory (LANL). The software predicts complex fuel and air flows as well as ignition, combustion, and pollutant-formation processes in engines. The KIVA models have been used to understand combustion chemistry processes, such as auto-ignition of fuels, and to optimize diesel engines for high efficiency and low emissions. General Motors has used KIVA in the development of direct-injection, stratified charge gasoline engines as well as the fast burn, homogeneous-charge gasoline engine. Cummins reduced development time and cost by 10%–15% using KIVA to develop its high-efficiency 2007 ISB 6.7-L diesel engine that was able to meet 2010 emission standards in 2007. At the same time, the company realized a more robust design and improved fuel economy while meeting all environmental and customer constraints.

<span class="mw-page-title-main">Gerris (software)</span> Computer Software

Gerris is computer software in the field of computational fluid dynamics (CFD). Gerris was released as free and open-source software, subject to the requirements of the GNU General Public License (GPL), version 2 or any later.

<span class="mw-page-title-main">SU2 code</span>

SU2 is a suite of open-source software tools written in C++ for the numerical solution of partial differential equations (PDE) and performing PDE-constrained optimization. The primary applications are computational fluid dynamics and aerodynamic shape optimization, but has been extended to treat more general equations such as electrodynamics and chemically reacting flows. SU2 supports continuous and discrete adjoint for calculating the sensitivities/gradients of a scalar field.

<span class="mw-page-title-main">MOOSE (software)</span> Finite element framework software

MOOSE is an object-oriented C++ finite element framework for the development of tightly coupled multiphysics solvers from Idaho National Laboratory. MOOSE makes use of the PETSc non-linear solver package and libmesh to provide the finite element discretization.

Nektar++ is a spectral/hp element framework designed to support the construction of efficient high-performance scalable solvers for a wide range of partial differential equations (PDE). The code is released as open-source under the MIT license. Although primarily driven by application-based research, it has been designed as a platform to support the development of novel numerical techniques in the area of high-order finite element methods.

<span class="mw-page-title-main">CONSELF</span> Computer-aided engineering platform

CONSELF is a computer-aided engineering (CAE) platform used by engineers for design purposes. The platform, which highly relies on cloud computing, is developed by CONSELF SRL since its first release in October 2015. In March 2016 a new release of the platform defined guided workflows for the users with focus on turbomachinery, fire scenarios and flows with dispersed solid particles. Through the platform it is possible to run both Computational Fluid Dynamics and Finite Element Analysis. Among the solvers and libraries used by CONSELF platform, a number of open-source technologies are included, such as:

References

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