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!
Massive CFD Data Handled Quickly Without Compromise – Maximize Your CFD Investment
Real World Example Case: Analysis From High Lift Drag Prediction Workshop Simulations.
The 2013 AIAA High Lift Production Workshop asked participants to develop and run multiple high-lift prediction simulations and compare results. Intelligent Light used an engineered CFD workflow to complete the full set of simulations and produce the comparisons using a single part-time researcher. The engineered workflow enabled IL to be the only participant who ran the entire simulation set rather than scoping down the project to limit case and data volume at the front end. An example of CFD without compromise!
“Cray systems provide central computational resources at commercial, academic and government centers around the world; often serving distributed user communities. Efficient tools to analyze CFD simulation results and enable the remote user community are essential. Management, automation, and remote visualization capabilities in FieldView are a proven technology for post processing whether the data is across the room or across the country. Cray is pleased to work with Intelligent Light to ensure this is a robust and efficient solution.
Per Nyberg, Director of Cray Business Development
This whitepaper provides both a case study and tutorial for working with large CFD data. The author presents how the CFD flow solver, OVERFLOW2, and Intelligent Light’s CFD post-processor, FieldView, was used in a remote solving and remote post-processing environment to analyze solutions for the AIAA High Lift Drag Prediction Workshop. Using the OVERFLOW2 solver from NASA, over 63 solutions were obtained on a remotely located Cray XE6 system. The large volumes of data were stored on the remote system where FieldView Parallel was used in batch and interactive modes to interrogate the data. An extract workflow was applied to create FieldView surface extract databases (XDBs), line extracts, and streamlines, reducing the data by a factor of 275, The extracts were transferred to local laptop where FieldView FVX scripts, together with GNUplot, were used to automatically generate comparisons between the cases and against experimental data. This paper summarizes the work and provides examples for using FieldView, FVX and XDB workflows to automate the post-processing of large scale simulations.
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FieldView simulation data courtesy of Navistar and Corvid Technologies.
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In this case study, quickly see how and why automotive industry OEMs, consultants, and race teams count on FieldView to help them address current industry challenges including:
- Meeting new, more stringent environmental regulations
- Getting actionable data fast – Too much data, too little time
- Keeping engineers focused on value-added engineering
Download and read the case study and see the keys to three organizations’ CFD success.
Intelligent Light Case Study:
A Lesson for Small Engineering and Manufacturing Companies – How one small manufacturer leveraged high performance computing to increase revenues 100% and add 120 jobs to the Indiana economy.
SMMs need to innovate with limited resources. See how you can:
- Quickly deploy an effective CFD workflow
- Exploit HPC resources
- Embed organizational knowledge and best practices into your workflow
- Deliver timely results to the right people
Learn how Intelligent Light delivered a combination of commercial CFD software and expert services to help Zipp Speed Weaponry harness the power of HPC enabled CFD.
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Technical details about the bicycle wheel study available from our CFD Visual Library:
- Bicycle Wheel Aerodynamics and CFD Workflow Whitepaper (executive summary, full paper)
- Full Bicycle & CFD Workflow Presentation – CD-adapco UGM 2012
- DYNAMICS Magazine Article published by CD-adapco
AIAA published papers on bicycle aerodynamics (Aerospace Sciences Meeting 2009-2011). Available from our CFD Visual Library:
- AIAA 2011 – DES simulation of bicycle wheel and fork combinations. Data management reduces time 15-20 fold, and disk usage 30 fold.
- AIAA 2010 – Credible & significant differences in wheel designs. Expands CFD data management & workflow automation for Tera-scale data.
- AIAA 2009 – First comparative study of aerodynamic wheels using CFD
CFD for the Rest of Us – Digital Manufacturing Report explains how the latest CFD capabilities and services are helping small-medium sized manufacturers (SMMs) succeed with affordable, high-productivity CFD.
The coming of age for CFD simulation for small and medium sized manufacturers (SMMs) is finally a reality. The story shows how the HPC-enabled CFD gap is bridged between large, established CFD users, and the smaller companies who have long seen limited success with sophisticated simulation-driven design. Intelligent Light has been recognized for its ability to bring together the necessary elements to quickly make these organizations successful without major new capital projects or hiring new engineering staff from outside their industry. Read the Article