Computational Simulation for Certifying 3D-Printed Parts in Aviation

Published on March 25, 2026 | Translated from Spanish

NASA and the FAA have presented a roadmap to transform the certification of metal components manufactured with 3D printing. The goal is to replace much of the costly and slow physical testing with validated computer simulations. This framework, the result of five years of research, would allow predicting the mechanical behavior of parts, speeding up their homologation in the aerospace industry and other high-risk sectors. 🚀

Engineer analyzing fatigue simulations of a 3D-printed aerospace component on a supercomputer.

Maturity levels and the challenge of fatigue prediction ⚙️

The strategy is based on a maturity level system that evaluates the validity of each computational model for regulatory use. Some tools, such as those for simulating residual stresses generated during manufacturing, are already considered sufficiently mature. However, reliably predicting the fatigue life of components remains a key technical challenge. These simulations must integrate the entire process, from the melting of metal powder and microstructure formation to the final behavior of the part under cyclic loads, requiring further development and experimental validation.

A paradigm shift beyond additive manufacturing 🔄

The adoption of this approach would represent a paradigm shift in certification, not only for additive manufacturing. It sets a precedent for using computational models as regulatory evidence in other complex industrial processes. Confidence in validated simulations would drastically reduce development time and cost, fostering innovation and the use of optimized designs that are currently unfeasible due to the prohibitive traditional physical qualification processes.

How can computational fatigue simulation methods validate the long-term structural integrity of 3D-printed metal parts to meet the strict FAA and NASA certification requirements?

(P.S.: Material fatigue is like yours after 10 hours of simulation.)