Predicting Failure Column
Improving carbon fiber SMC simulation for aerospace parts
Simutence and Engenuity demonstrate a virtual process chain enabling evaluation of process-induced fiber orientations for improved structural simulation and failure load prediction of a composite wing rib.
A digital twin to validate SMC performance in suspension structures
High-fidelity, anisotropic behavior material card, integrated with process simulation, structural FEA and validated with CT and physical tests enables optimization proven in award-winning SMC suspension knuckle.
Read MorePredicting and mitigating failure in composite parts
Understanding the complexity of composites manufacturing resides in studying the design challenges inherent to fabrication, as much as the physics aspect. To serve this effort, CW introduces a new column, “Predicting Failure.”
Read MoreHow to validate 3D-printed composite part performance
Integrated Computational Materials Engineering (ICME) workflow simulates composite material performance to speed development, optimize performance and reduce costs for a redesigned 3D-printed CFRP bracket.
Read More
Optimized approach to predict delamination failure in CFRTP structures
ARRK Engineering and Mitsui Chemicals improved delamination prediction accuracy to help optimize absorbed energy/failure load for an overmolded TAFNEX CF/PP UD tape bumper beam.
Heat mapping simulation to improve AFP parts
An optical model developed for Coriolis Composites’ SimuReal AFP process simulation software enables verification of energy distributions during AFP to better define heating laws.
Optimizing a thermoplastic composite helicopter door hinge
9T Labs used Additive Fusion Technology to iterate CFRTP designs, fully exploit continuous fiber printing and outperform stainless steel and black metal designs in failure load and weight.
