Here is a presentation of the Flux environment; the project management, the data management, the command language, the
formulas and mathematical functions.
The construction of a Flux project consists of several stages: Geometry → Mesh → Physics → Resolution → Postprocessing;
with the possibility to import a CAD file, a mesh, materials...
Flux Skew is a module dedicated to the analysis of rotating electric machines with skewing, allowing a straightforward
geometric and physical description in 2D and the consideration of continuous or step skewing effects.
Flux PEEC is a 3D modeling module dedicated to electrical interconnections of power electronics devices. It also
provides RLC extraction and generation of SPICE-like equivalent circuits.
Flux provides a unified Material Identification tool based on the Altair Compose environment allowing to run an identification
of the coefficients required to create material in Flux.
AMDC is a comprehensive material database maintained by Altair and partner suppliers of engineering materials. Ready-to-use,
Flux-compatible models may be obtained directly from this database for a growing number of materials.
This documentation deals with the Jython script used in Flux and allows to understand the various structures of
entities and functions, and use it in user scripts for example.
The construction of a Flux project consists of several stages: Geometry → Mesh → Physics → Resolution → Postprocessing;
with the possibility to import a CAD file, a mesh, materials...
In the data tree of Flux the node Solver > Optimization > Constraints allows
the user to define some constraints which are structural or physical limitations
imposed by the optimizer, a constraint allow the user to control the shape of the
design with some symmetries constraints, volume values constraints or physical
limits. The short list of the constraints is given below:
Table 1. Table summarizing all the constraints available in Flux
Constraints
Required informations
Constraints on 2D faces volume
A common percentage factor of variation
Figure 1. Vmax and Vmin are the upper and lower
bounds, p_var the common factor
A percentage factor for the lower bound and another
factor for the upper bound,
Figure 2. Vmax and Vmin are the upper and lower
bounds, p_max and p_min the factors for the upper
and lower bounds
The values for lower and upper bounds
Figure 3. Vmax and Vmin are the upper and lower
bounds, p_max and p_min the values for the upper
and lower bounds
Double symmetry constraint
The origin of the symmetry axis,
The direction of one of the axis, the second axis is
automatically taken perpendicular to the first
one.
Figure 4. Origin point and double symmetry axis over an
electromagnetic device
In this case, only one of both axis must be defined,
choose between (1;0) for X axis or (0;1) for Y axis.
Symmetry constraint
The origin of the symmetry axis,
The direction of the axis,
Figure 5. Origin point and a simple symmetry axis over the
rotor of a rotating machine
In this case, the direction of the symmetry axis is
(0.5;0.5)