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Formula SAE

Fast-tracking the development of autonomous vehicles, drones and robots via engineering simulation

    Designers of autonomous vehicles, drones & robots face key safety and reliability challenges when integrating machine vision & complex sensors. Engineering simulation tools can form part of a complete control loop for autonomous systems, helping to replicate the real world performance of sensors in a consistent and repeatable virtual test environment and leading engineers to solve issues before they become a problem in real life.

    Guest Blog by ECU-R: Analysing F-SAE Aerodynamic Flow Fields Using CFD

      Guest blog by ECU-Racing on how the team uses CFD simulation to drive aerodynamic design improvements, explaining how CFD simulation results provide help identify problematic aspects such as flow separation, undesirable flow structures, and poor use of flow energy which can then lead to new ideas which can be tested in CFD to improve the overall flow around the car.

      Guest Blog by MMS: Aero Mapping for Formula-SAE using CFD

        Monash Motorsport has been designing Formula Student cars with wings and diffusers for many years, but this process has been fast-tracked through greater automation of Ansys CFD simulations to help the team gather more simulation data points & generate a comprehensive aero map to analyse the impact of changes in vehicle roll, yaw, steer and ride height.