Ferrari GT pushes fluid dynamics boundaries with Ansys

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Ferrari Competizioni GT is leveraging cutting-edge Ansys simulation software to create next-generation vehicle designs that promise a substantial advantage on the track.

Through a new partnership agreement, Ferrari Competizioni GT engineers are advancing the aerodynamic performance of their elite race cars with Ansys’s industry-leading engineering simulation software.

Every two or three years, the Ferrari Competizioni GT engineering team pushes themselves to engineer an upgraded racing GT within a 12-month window. Production efficiency is the formula for their success and the team has historically used Ansys’s Fluent meshing to deliver turbulence models and solver technology to improve their cars’ performance.

Adoption of the new Mosaic-enabled Poly-Hexcore meshes accelerated the team’s simulation process. The team also adopted more automated workflows to cut hands-on development time, using parallelization to create high-quality mesh faster and solve in Ansys Fluent more efficiently — creating three times more simulations without additional development time or resources.

Ferdinando Cannizzo, head of GT racing car development at Ferrari Competizioni GT, said, “Mosaic-enabled meshing is making a considerable impact on our aerodynamics designs — letting us achieve improved accuracy using far less cells and solving in half the time.

“With Mosaic technology and the Fluent end-to-end workflow, our team runs three times as many simulations in the same amount of time and develops cars faster than we ever could before.”

Sandeep Sovani, director of Global Automotive Industry at Ansys, said, “Ferrari Competizioni GT cars represent the pinnacle of racing performance and we are proud to help them engineer new aerodynamic designs to obtain more victories on the track.

“Teams are always looking for performance advantages and Mosaic meshing accelerates all stages of the simulation workflow, answers design questions sooner to help maximise production efficiency and supports tight developmental timelines.”

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