Case Study
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Ansys stellt Studierenden auf dem Weg zum Erfolg die Simulationssoftware kostenlos zur Verfügung.
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Case Study
“Our ability to harness the power of Ansys Fluent native multi-GPU solver has saved us considerable time while using a fraction of the typical hardware resources.”
-Francesco Manara, Numerical Aerodynamics Technical Leader, Leonardo Helicopters
Helicopters use three aerodynamic forces to fly: lift, thrust, and drag. Fine-tuning the design of a helicopter relies on precise engineering, analysis, and the harmony of all contributing factors.
Leonardo Helicopters has implemented Ansys simulation to help provide its customers with advanced rotorcraft that perform at the highest safety standards. Aerodynamics play a critical role in a helicopter’s ability to lift off, navigate, and land safely and accurately. Achieving reliable flight requires extensive research and development. Thanks to Ansys computational fluid dynamics (CFD) software, Leonardo can reach aerodynamic optimization in record time.
Helicopters go through extensive certification stages that include both performance and safety standards. Improper evaluation of a rotor design, for example, can lead to aerodynamic problems and jeopardize safety.
Therefore, when modeling, it is imperative that the entire airframe and all its external parts are included. Ansys Fluent® fluid simulation software helps Leonardo optimize the research and development of the helicopter’s aerodynamics for the rotorcraft.
CFD visualizations of turbulent structures on a tiltrotor in airplane mode
Additionally, testing use cases in the real world is extremely costly and not environmentally sustainable. For example, running a test in which a helicopter flies very close to a mountainside would cost thousands of dollars and generate up to 850 kg of CO2 emissions for just one hour of flight.
AW139 search and rescue cabin crew in flight
Leonardo Helicopters relied on Ansys computational fluid dynamics (CFD) software powered by GPUs to accelerate the aerodynamic analysis vital for safe operation. To improve reaction time to customer requests, Leonardo used Fluent’s multi-GPU solver to compress development time and test changes quicker than ever. The GPU solver also provided the ability to run large eddy simulations (LES) for the purpose of testing mathematical models for turbulence in CFD.
Passenger transport AW139 performing offshore operations
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