Composites Engineering

Optimize Composite Design

CATIA Composites allows designers to optimize composite design steps while composites manufacturing constraints can be embedded early in the conceptual stage to reduce design time.

Furthermore, designers can choose industry-proven design methodoligies, during the preliminary design, to mate better with structural parts. For example : the grid design approach can be of benefit for the design of aerospace barrels, boat hulls, and wind turbine blades.

CATIA Composites also enables designers to automatically optimize plies during the detailed design phase with dedicated  features to easily simulate how the parts behave structurally or what is going to happen on the shop floor with outputs generation.

Description

A comprehensive set of process-oriented applications, on a single integrated platform,  to efficiently manage composites design on complex surfaces.

  • Industry-proven design approaches

    • Preliminary grid & zone design

  • Ply modeling tools based on associative 3D features

  • Complex surface modeling tools

  • Best-in-class solid and IML

    • ITA and Junction lines control

    • Core elevation

  • Advanced Producibility Analysis

    • Real-Time fiber deposit deviation analysis (Dynamic Draping)

    • Fiber deposit strategies control

  • Knowledge design automation

  • Associative engineering drawings

    • Visualization of plies normal vector

  • Engineering deliverables and DMU integration

    • Drawings with Generative view style and annotation templates

    • Review results export

Composites B-Pillar Experience

Key Benefits

  • Efficient management of composite design on complex surfaces

  • Reduce time to market

  • Allow the designer to focus on the design intent

  • Predict the behavior of the part inside the design environment

  • Closed loop with simulation

  • Allows designers to capture the assembly information within the design environment

  • Account manufacturing constraints early in the design process

  • Optimize the performances and weight by designing in the context of analysis

  • Model Based Definition and Long Term Archiving compliant