Model-based topology-, shape- and sizing optimization with Altair OptiStruct

Finding an efficient part design can be well solved using topology-, shape- or sizing optimization in an early design phase. However, the time and expert knowledge to set up such a simulation is not always available, especially when a simulation needs to be run multiple times due to changing constraints.

• The knowledge of how to use topology-, shape- or sizing optimization in an early design stage is not known to every engineer.
• If boundary conditions change, the preprocessing for a simulation must be set up again with high effort.
• Design studies for generative design are usually shied away from due to the manual effort and thus potential remains unused

Our Approach

ELISE embeds the simulation capability of OptiStruct’s optimizations into a rule-based low-code environment. This allows automating the pre- & post-processing of the optimization independent of changing boundary conditions and geometries.

Your Value

ELISE allows the highly parametric and rule-based modeling of optimization scenarios, which can be defined by the CAD functionalities of ELISE in a mesh independent approach and can then be stored, shared, and recycled in an automated workflow.

• Saving the IP of optimization expert knowledge in workflows
• Democratization of optimization knowledge by passing on expert knowledge to colleagues, e.g. from the design department
• Rule-based generation of OptiStruct models, which can be reused independent of geometry and boundary conditions