• Research Activities

    Optimization
  • 1

Computer Aided Design Optimization of Turbomachinery Components

 

The VKI has been actively involved in the design of turbomachinery components ranging from micro gasturbines, axial/radial compressors/turbines, fans, pumps to internal cooling channels for industrial clients and governmental agencies.

CAD model of a radial compressor

CAD model of a radial compressor

radial compressor

Structural (gray) and fluid (blue) grid for a radial compressor

To help the designer in his design process, the VKI has developed over several years of experience a Computer Aided Design Optimization (CADO) tool using numerical optimization algorithms based on evolutionary algorithms, surrogate models and high fidelity evaluation tools such as Computational Fluid Dynamics (CFD) and Computational Structural Mechanics (CSM). It is the perfect tool to improve the performance of existing designs or for designing new components. Innovative designs are produced in a reduced time to market.

Traditional design approaches in industry operate with several iterations between different engineering departments, each one evaluating design changes to improve the performances in their specific disciplines. Multi-disciplinary optimization techniques enable to reach a global optimum considering simultaneously the conflicting requirements of all the different disciplines. By limiting iterative design changes, an interactive design optimization process reduces the time to market cost.

The current capabilities include aerodynamics, aero acoustics, structural mechanics, vibrational mechanics and conjugate heat transfer. Typical objectives include efficiency, range, and emitted noise, while constraints are imposed on stall behavior, mechanical stress limits due to centrifugal forces, thermal stresses and/or pressure forces, etc.

Optimization of internal cooling
channels of a turbine blade

Optimization of internal cooling channels of a turbine blade

U-bend optimized for minimal
pressure losses

U-bend optimized for minimal pressure losses