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About CAESES

We launched a pilot project with Friendship Systems to evaluate CAESES in May, it helped us solve a time-critical task in July and it became a design tool by October
By then we had created flexible and robust parametric models for complex parts, enabling us to optimize in design spaces we had previously not been able to explore

In our experience, using CAESES for creating parametric models was MUCH faster and easier than with our traditional CAD tool – hours versus weeks! For complex geometries, the traditional CAD tool was not the optimum solution because when creating variants we experienced a lot of infeasible geometries, whereas in CAESES we had almost 100% success
At Sirehna, CAESES has become an indispensable tool for conducting comprehensive shape optimization studies in an automated CFD-driven design process

Before introducing CAESES we ran about one hundred RANSE simulations per year
On the basis of CAESES we are now able to undertake several ten thousands of viscous simulations every year with no additional effort
This gives us an exceptional insight for key product decisions that we would not be able to generate without CAESES

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CAESES® foundation is a powerful and flexible parametric 3D modeler
The main purpose: Robust variable geometry with fewer parameters

Create a clean and robust parametric geometry that is ideal for automated meshing and analysis

Integrate, launch and control your simulation runs
Let it be your flexible GUI for process automation incl
3D post-processing

CAESES® offers integrated methods for automated design explorations and shape optimization

Optimize imported geometries by using the shape deformation and morphing techniques of CAESES

CAESES® is a command-driven platform that can be fully scripted and customized
Includes batch mode capabilities

Accelerate your shape optimization process by mapping the results of an adjoint flow analysis to the geometry parameters

Get your flexible CAESES model in just a few days! Customized to your needs and easy to use
No CAESES expertise required

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