Knowledge Hub

Understand blade loading and 3D Inverse Design from first principles, eliminating costly trial-and-error blade design and enabling efficient machine learning for optimal turbomachinery solutions

See how Machine Learning and 3D inverse design combine to rapidly engineer fully optimized wastewater pumps across complex design spaces.

In this webinar, learn the complete digital workflow for micro turbine gas path design using TURBOdesign Suite and Simcenter. From system sizing to rotor dynamics validation.

A practical webinar on how a unified Cadence – Advanced Design Technologies (ADT) workflow helps engineers accelerate turbomachinery design, reduce uncertainty in early decisions, and move from concept to validated performance predictions with greater confidence.

This new release takes a significant leap forward by dramatically enhancing CAE integration capabilities, extending its predictive power, and optimizing for manufacturing, and more.

Discover how a Machine Learning algorithm optimized a hydraulic turbine runner in hours on a standard desktop, finding a new design with a different blade count. It achieved improved efficiency and cavitation margin across all operating points.

Learn how Machine Learning and 3D inverse design optimize centrifugal compressors using advanced turbomachinery design techniques. 

Learn how Machine Learning and 3D inverse design optimize Axial Fan performance using advanced turbomachinery design techniques. 

This new release shows how the enhanced CAE integration in TURBOdesign Suite 2025.1 now seamlessly connects with your preferred CAE tools for the design and analysis of centrifugal fans, Sirocco fans, radial inflow turbines, and Francis turbines, in addition to the previously supported axial and mixed flow machines.