In the steady quest for lightweighting solutions, continuous carbon fiber composites are becoming more approachable for design in the Aerospace industry using composite materials.
However, traditional modeling methods don’t allow to predict accurately performance of composites, especially when it comes to failure and post-failure prediction and yield to over-designed structures.Solution
Unlike classical laminate analysis (First Ply Failure), Digimat provides capabilities to capture realistically nonlinear material behavior at the microscopic level for each phase, allowing its users to expand on known properties or design and optimize entirely new material systems.Benefits
- Higher confidence in the design as non-linear properties of each phase are considered. (Related products: Digimat-MF, Digimat-FE)
- Improve performance with weight savings for any structure made of Continuous Fiber Reinforced Polymer (CFRP), Short Fiber or Sandwich Structures.
- Develop a complete Virtual Testing Procedure of Material and Laminates.
“The integration of progressive damage models, like Matzenmiller-Lubliner-Taylor model, in nonlinear multi-scale homogenization methods available in Digimat enables to predictively take into account constituent’s properties and microstructure influences over material performance and accurately compute stresses in theses constituents."Digimat is strongly coupled to:
-Salvatore Russo, Stress analyst, Airframe, Alenia Aermacchi
- Major nonlinear FEA software (Nastran, Marc, Abaqus, ANSYS, LS-DYNA, PAM-CRASH and SAMCEF)
- Injection Molding software (Moldflow, SigmaSoft, Moldex3, REM3D)
- Draping and Forming software (Simulayt, PamForm)
- CFRP, Short Fibers, Sandwich and HoneyComb
- Primary and Secondary Aircraft Components or Aircraft Interiors Components
- Engine components, Engine Cover
- Hard metals: Landing gear
- Structural stiffness
- Vibration frequencies and modes
- Damage under cyclic loading
- Failure under quasi-static loading
- Failure under crash loading
- Shape stability (large temperature gradients)