[CATIA] Structural Generative Designer

 

Efficiently conceive & validate innovative lightweight, structural performance-driven and manufacturing-ready designs, for a wide variety of shapes.

The Structural Generative Designer role offers a unique experience to rapidly achieve performant parts or assemblies, with dedicated assistants and a wide range of modeling, simulation and optimization techniques under the hood.

 

From 3D or 2D topology optimization studies early in conceptual design, it is easy to create, validate, visualize and compare different alternatives and their resulting KPIs to perform a tradeoff and select in fine the best design. Refinements of design can leverage optimal beads generation, shape optimization or parametric studies.

 

Manufacturability is accounted for throughout the process: from manufacturing constraints up to capabilities to assist with the detailed modeling of the part or the assembly, whether it is for Additive Manufacturing, Milling, Extrusion or Sheet Metal.

 

Benefits

  • All in one role integrating design & simulation to efficiently meet structural performance requirements

  • Design specifications (zones to preserve, loads, boundary conditions) defined once and for all, in downstream studies and alternatives, boosting the global process and avoiding mistakes.

  • The design completion is either fully automated, or tuned by the user, guided by dedicated assistants.

  • Great for additive manufacturing, this role also offers generative design capacities for sheet metal, casting, milling, extrusion parts and assemblies.

 

Highlights

  • Be up and running easily and fast: dedicated assistants guide you through the entire process

  • Robust design improvements capabilities include topology, shape (including bead) and parametric optimizations, for solid parts as well as thin parts (surfaces).

  • Comprehensive sets of loading and boundary conditions to precisely specify what the targeted design shall withstand.

  • Alternatives creation from a baseline study, to explore different approaches, and then compare and assess their resulting mass and other Key Performance Indicators to select the best concept.

  • Embedded compute capacity, up to 4 cores.