The difficulties of parametrically defining complex geometries for optimization and preprocessing CAD models for flow and structural simulation have driven the development of the CAE platform CAESES over the last decade. Learn how the unique parametric modeling approach in CAESES can be used to optimize an axial turbine design in conjunction with Ansys Workbench.
The difficulties of parametrically defining complex geometries for optimization and preprocessing CAD models for flow and structural simulation have driven the development of the CAE platform CAESES over the last decade.
The built-in parametric CAD environment is geared towards simulation-ready geometries that can be varied in an easy, flexible, and robust way. Using the CAESES App for Ansys Workbench, these geometry models can be controlled and fully integrated into automated simulation workflows, leading to faster turn-around times and improved results of simulation-based shape optimization.
Learn how the unique parametric modeling approach in CAESES can be used to optimize an axial turbine design in conjunction with Ansys Workbench.
About the Speaker:
Mattia Brenner is the Head of Sales for Europe and North America at FRIENDSHIP SYSTEMS. He has over a decade of experience in creating customized workflows, parameterizing complex geometries, and optimizing them with CFD, having worked with customers in the maritime, transport and energy industries on applications such as ship hulls and appendages, internal combustion engines, gas and steam turbines, pumps, and more. Mattia holds a degree in Naval Architecture and Ocean Engineering from the Technical University Berlin.
To watch, please complete the form on this page. This webinar is sponsored by FRIENDSHIP SYSTEMS and Ansys.