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Case Study


Red Bull Racing Honda’s Use of Ansys Simulation Paves the Way to Track Success




“By Integrating Ansys’ technology into our design processes, our team iterates aerodynamics designs much faster, giving us the edge against our competition on the track.” 

— Matt Cadieux,  CIO/Red Bull Racing Honda


Introduction

Since 2008, as part of an Innovation Partnership with Ansys, Red Bull Racing Honda has been using Ansys simulation technology across a range of critical application areas. The focus of the partnership has grown from an initial focus on aerodynamics simulation to solving cooling problems, managing and optimizing materials usage and IP, and ensuring the vehicle is designed to protect the driver in the event of a crash.

 

Challenges

Formula 1 engineers must balance a multitude of competing design objectives for various track conditions. So, the engineers must perform their multidisciplinary design optimization studies not just once – but for every single race – often just 7 days apart. Not only do they need highly accurate design tools that give them the ability to deliver a race-winning advantage within the rules, but they also need the speed to do this between races.

 

Engineering Solution

The Aerodynamics Team have made Ansys Fluent Meshing their pre-processing tool of choice for generating models and creating computational meshes, and they have chosen Ansys Fluent CFD as the core component in their virtual wind tunnel. The Red Bull Racing Honda team also uses Fluent to develop the cooling circuit and cooling capability of the car, related to the Power Unit (PU). Ansys Granta MI materials information management software is used to keep a comprehensive, single source of truth for all material information available to the team. With Ansys LS-DYNA, engineers can test impacts using virtual models and collect even more data than is available from physical crash testing.

 

Benefits

  • Confidence in Fluent to set up an aerodynamics simulation and let it run without having to monitor it, freeing up time for other key tasks.
  • Designing a cooling system to maximize the power unit’s performance within the regulations, with virtual simulation reducing the need for on-track testing and providing the ability to run more iterations in a shorter period to optimize the cooling parameters.
  • Having one source of truth for all materials properties with Granta MI removes the risk of team members accessing out-of-date information and human error.
  •  Improving the simulation of crash testing with LS-DYNA reduces the amount of physical testing required, saving time and investment while ensuring cars meet the crucial safety regulations of the sport

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