Turbomachinery Generative Design Coupled CFD & FEA for Turbomachinery Aerodynamics, Hydrodynamics and Hydraulics, Thermodynamics, Acoustics and Vibration, Fatigue

Generative design is a powerful approach to optimizing complex geometries for turbomachinery components. By leveraging advanced simulation tools such as Star-ccm+, Ansys Fluent, and Numeca Fine/Turbo, Simulation Dynamics engineering team can compute sensitivities of the geometry with respect to given targets such as total pressure loss and velocity uniformity, and modify the geometry accordingly.

Generative design involves the use of algorithms to generate and test many different designs, selecting the best ones based on specific criteria. By iterating through many different designs, the algorithm can quickly identify the most promising options, refining the design with each iteration.

In the context of turbomachinery, generative design can be used to optimize complex geometries such as blade profiles, inlet and outlet shapes, and other components. By using simulation tools to evaluate the performance of each design iteration, the algorithm can quickly identify the best designs for a given set of objectives.