Develop digital twin models for aerospace rotating machinery to simulate, monitor, and optimize performance across the entire lifecycle.
Apply machine learning and vibration analytics to predict failures before they occur, enhancing reliability and reducing downtime.
Enable continuous data acquisition and condition tracking for turbines and engines to ensure safe, efficient operation.
Utilize CFD, FEA, and advanced simulation tools to improve efficiency, durability, and sustainability in turbomachinery design.






where innovation, engineering, and national capability converge to shape the future of aerospace
International Rotating Machinery Technology & Innovation For Aerospace Show 2026
delegate@roticaerospace.com