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...
It is possible in Flux 2D to describe a mechanical problem and account for mechanical responses and constraints in
the context of structural optimization.
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.
The Material Identification tool is based on the Altair Compose environment and allows determining from measurements
the parameters and coefficients required to create a 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
The name of the function related to the
constraint
Select the input responses which are described as
physical depending responses
Lower or an upper bound in the same unit as the response
(both are not mandatory)
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
Symmetry constraint (defined by
direction)
The origin of the symmetry axis,
The direction of the axis.
Figure 4. 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).
Symmetry constraint (defined by
angle)
The origin of the symmetry axis,
The angle of the axis.
Figure 5. Origin point and a simple symmetry axis over the
rotor of a rotating machine
In this case, the angle of the symmetry axis is
45°.
Double symmetry constraint (defined by
direction)
The origin of the symmetry axis,
The direction of one of the axes, the second axis is
automatically taken perpendicular to the first
one.
Figure 6. Origin point and double symmetry axis over an
electromagnetic device
In this case, only one of both axes must be defined,
choose between (1;0) for X axis or (0;1) for Y axis.
Double symmetry constraint (defined by
angle)
The origin of the symmetry axis,
The angle of one of the axes, the second axis is
automatically taken perpendicular to the first
one.
Figure 7. Origin point and double symmetry axis over an
electromagnetic device
In this case, only one of both angles must be defined,
one can choose between 0, 90, 180, 270, ….