Improve the efficiency of internal fluid systems by generating shapes that respect performance KPI targets, via a streamlined & intuitive workflow experience.

• Explore and Generate shapes for internal fluid flows that minimize pressure drops and preserve the mass flow rate (HVAC, cabin comfort systems, etc.)

• Generate automatically flow-driven shapes, validated with an easily set-up RANS (Reynolds-averaged Navier-Stokes) CFD simulations

• Promote a seamless collaboration between Design and Simulation departments

Benefits

• Generate shapes for internal fluid flows minimizing pressure drop and preserving the mass flow rate (HVAC, cabin comfort systems, etc.)

• Efficient Product Engineering, removing bottlenecks that usually make it cost-prohibitive to explore optimized parts.

• Intuitive workflow for Design Engineers to guide through the RANS CFD and optimization setup

• Automatic generation of flow-driven shapes and easy Design preparation functions

• Seamless Collaboration with Design and Simulation departments

• Embedded Compute up to 8 cores

Highlights

• Workflow assistant to guide the user in every step of the process

• Design space creation from any CAD data, native or imported, edited using de-featuring and other intuitive direct modeling capabilities.

• Comprehensive sets of loading and boundary conditions to precisely specify what the targeted design shall withstand.

• Account for filters in the fluid thanks to the addition of porous media

• Topology Optimization setup capabilities leveraging optimality criterion

• Automatic generation of a concept CAD with dedicated functionalities for pipe geometry creation.

• Compare concept shape flow performances leveraging Key Information computation such as pressure drop, mass flow rate, mass flow balance etc…

• No need to re-define the simulation scenario: the initial setup is reused automatically on any generated shape, from concept to final, to validate its fluid flow performances.

• Improve the performances of generated shapes with embedded Parametric Optimization capabilities tailored for Flow-Driven Generative shapes