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...
It is possible in Flux 2D to describe a mechanical problem and account for mechanical responses and constraints in
the context of structural optimization.
Steps for creating a Mechanical problem for structural
optimization
The tools used to describe a Mechanical problem for optimization are accessible
through the Solver → Optimization → Mechanical optimization
branch of the Data tree, as shown in Figure 1
The steps for creating a Mechanical problem for optimization are the
following:
Define one or more Mechanical regions.
Define one or more Mechanical boundary conditions
Using the previously created Mechanical regions and Mechanical
boundary conditions entities, create the Mechanical problem.
Steps 1 to 3 above are detailed in the next sections.
Important: Once the Mechanical problem has
been created, it must be integrated to the description of an Optimization
problem. The Optimization problem must also contain one or more
Mechanical responses in its description to benefit from the
Mechanical problem definition. The Constraints describing the
Optimization problem may also derive from Mechanical responses
under those circumstances.
Remember:Mechanical responses may be created by clicking the Responses node
of the Data tree and by selecting the option Mechanical response
in the Physical quantity to optimize drop-down menu. There are two
subtypes available, namely:
Von Mises stress and
Compliance.
Consequently, limiting the Von Mises stress or maximizing the compliance
are examples of attainable constraints or objectives in Optimization
problems accounting for a Mechanical problem.