How engineers optimize wing designs with physics AI.
Industrial engineering teams accelerate aerodynamic design with interactive Physics AI simulation and optimization.
Industrial Engineering
Challenge
High-fidelity Computational Fluid Dynamics (CFD) simulations are essential for aerodynamic design, but a single analysis can take hours, which limits design exploration. Engineers can only test a few variants at a time, slowing down innovation and missing potential efficiency improvements.
Solution
Industrial engineering teams use Physics AI surrogate models to predict flow fields and performance metrics in about a second, compared with hours for a traditional solver run, enabling them to modify geometry, run gradient-based optimization, and converge on an optimized design in under a minute.
Result
Predicts wing flow fields in a second instead of hours.
