Feko is a comprehensive electromagnetic solver with multiple solution methods that is used for electromagnetic field analyses
involving 3D objects of arbitrary shapes.
EDITFEKO is used to construct advanced models (both the geometry and solution requirements) using a high-level scripting language
which includes loops and conditional statements.
One of the key features in Feko is that it includes a broad set of unique and hybridised solution methods. Effective use of Feko features requires an understanding of the available methods.
Feko offers state-of-the-art optimisation engines based on generic algorithm (GA) and other methods, which can be used
to automatically optimise the design and determine the optimum solution.
Feko writes all the results to an ASCII output file .out as well as a binary output file .bof for usage by POSTFEKO. Use the .out file to obtain additional information about the solution.
CADFEKO and POSTFEKO have a powerful, fast, lightweight scripting language integrated into the application allowing you to create
models, get hold of simulation results and model configuration information as well as manipulation of data and automate
repetitive tasks.
CADFEKO and POSTFEKO have a powerful, fast, lightweight scripting language integrated into the application that allows you to create models,
get hold of simulation results and model configuration information and much more.
Feko integrates into job scheduling and queuing systems such as Altair PBS Professional, Torque, IBM Platform LSF, Parallelnavi NQS, SLURM and Univa Grid Engine.
The MLFMM is an iterative solution method, and under certain conditions, the iterative solution may fail to converge. Several
model or solution settings are presented that could improve the model's convergence behaviour.
The hybrid multilevel fast multipole method (MLFMM) / finite element method (FEM) is an iterative solution method and under certain conditions, the iterative solution may fail to converge.
Several model or solution settings are presented that could improve the model's convergence behaviour.
The hybrid method of moments (MoM) / finite element method (FEM) is an iterative solution method, and under certain conditions, the iterative solution may fail to converge.
Several model or solution settings are presented that could improve the model's convergence behaviour.
The finite difference time domain (FDTD) is a solution method that may fail to converge under certain conditions. Several model or solution settings
are presented that could improve the model's convergence behaviour.
When meshing a model, you can either use the automatic meshing algorithm to calculate the appropriate mesh settings
or you can specify the mesh sizes. When you specify the mesh sizes, the mesh sizes should adhere to certain guidelines.
Feko integrates with various products within Altair Simulation Products such as HyperStudy. Integration with third-party products is also supported through the powerful scripting and plug-in infrastructure.
Feko creates and uses many different file types. It is useful to know what is stored in the various files and weather they were
created by Feko and if it is safe to delete them. The files are grouped as either native files that have been created by Feko or non-native files that are supported by Feko. Non-native files are often exported by Feko even if the formats are not under the control of the Feko development team.
A collection of how-tos are included that covers advanced concepts.
How to Use a Job Scheduling / Queuing System Feko integrates into job scheduling and queuing systems such as Altair PBS Professional, Torque, IBM Platform LSF, Parallelnavi NQS, SLURM and Univa Grid Engine.
How to Feed a Grounded Coplanar Waveguide
A method is presented on how to feed a grounded coplanar waveguide (GCPW) in CADFEKO. The same method can be used to feed a coplanar waveguide (CPW).
How to Improve Convergence for the MLFMM
The MLFMM is an iterative solution method, and under certain conditions, the iterative solution may fail to converge. Several model or solution settings are presented that could improve the model's convergence behaviour.
How to Improve Convergence for the MLFMM /FEM
The hybrid multilevel fast multipole method (MLFMM) / finite element method (FEM) is an iterative solution method and under certain conditions, the iterative solution may fail to converge. Several model or solution settings are presented that could improve the model's convergence behaviour.
How to Improve Convergence for the MoM / FEM
The hybrid method of moments (MoM) / finite element method (FEM) is an iterative solution method, and under certain conditions, the iterative solution may fail to converge. Several model or solution settings are presented that could improve the model's convergence behaviour.
How to Improve Convergence for the FDTD
The finite difference time domain (FDTD) is a solution method that may fail to converge under certain conditions. Several model or solution settings are presented that could improve the model's convergence behaviour.
How to Reduce Computational Resources
Several tips and tricks are presented to reduce runtime and memory consumption. A few general tips are given as well as solution method-specific tips.