CFD is a crucial engineering strength at Infiniti Red Bull Racing where over 80% of their aerodynamic design work is driven by CFD. CFD Team Leader, Nathan Sykes talks about where the challenges and achievements of his team using FieldView and automated CFD post-processing.
Infiniti Red Bull Formula 1 – An elite team in Formula 1 Racing
After claiming the Constructor’s and Driver’s Championship for four straight years, the Red Bull’s are a favorite at every race they contest.
Domination in 2013:
- Red Bull’s 596 total points was well clear of Mercedes’ 360 and Ferrari’s 354 points
- Vettel’s total of 13 wins during the season puts him alongside Michael Schumacher as joint holder of the record for most wins in a single campaign.
- 13 additional podiums
- Red Bull finished the season with 9 consecutive wins and a fourth 1-2 finish at the final race.
A team built upon great engineering and great driving brings the fastest cars on the track that were designed with heavy use of CFD and a model high-productivity workflow. We are proud of our association with the Infinity Red Bull Racing team and all they have accomplished using FieldView for their CFD post-processing. Learn more about how high-productivity CFD using FieldView is helping Red Bull continue to stay on top!
This edition of our newsletter announces the availability of the FieldView 14 release, a new large scale CFD whitepaper based on work done for the AIAA High Lift Workshop, and Intelligent Light’s recognition in the HPCwire Readers’ Choice Awards.
In this issue:
HiLift Wing and plot.
FieldView 14 allows multiple interactive views of datasets.
View the Archive
Digital Manufacturing Report Managing Editor, Chelsea Long published an article on CFD Data Management as it relates to HPC adoption by small and medium sized manufacturers (SMMs). Read the article
You have to get past the risk reduction argument before you can start to sell based on ROI. The small-to-medium guys aren’t seduced by CFD and it’s great mystery or promise. If they can’t cost-effectively predict the behavior of new products with low uncertainty, they’re not interested.
Steve M. Legensky
Founder and General Manager, Inteligent Light
Image from initial OpenFoam simulation in study of wind turbine wake structures. FieldView image courtesy of Prof. Sven Schmitz, Penn State.
Prof. Sven Schmitz and his students are using OpenFOAM and FieldView to study wind turbine wake structures. I just helped them get FieldView up and running on up to 32 CORES in both Client/Server mode and in Batch mode on their HPC cluster Cocoa. The simulations totaled 15 million grid points, 416 grids with 50 scalar and 8 vector quantities – EACH TIME STEP. Running FieldView in batch mode with 16 shared memory cores on 1 compute node, it took about 6 minutes per time step to read the data, create coordinate cut planes and iso-surfaces of vorticity, then output data extracts (XDB), movies and pictures. I’ll be working with Prof. Schmitz’s students on using this custom XDB workflow to make a movie for the ‘Gallery of Fluid Motion’ for the APS Division of Fluid Dynamics.
First Look (.wmv)