Views from Intelligent Light
Roger Rintala

SAE Supermileage: Concordia Team Completes Testing

Competition Results Update!

Concordia U - SAE Supermileage Team 2014Congratulations to the Concordia University Team on their win of the 2014 Endurance Award for reliability on the track.  With 208 design points and 448 MPG, the team achieved their first top 10 finish in their 18 year history in the SAE Supermileage Competition.

 

FieldView has become a core element of their workflow and will help the team continue to develop their capabilities every year as team members change over time.  CFD driven improvements to the engine are already being planned for 2015 and FieldView will be used for their new internal combustion studies.

The use of basic automation including FieldView RESTART files saved Mr. Eminanlou days to weeks as he worked with successive design cases.

Concordia Poster

Concordia University’s SAE Supermileage vehicle engineering poster presentation. (click for large image)

Body Design Lead Mehran Eminanlou has performed CFD analysis for the team contributing to the engineering knowledge and resulting designs for both external aerodynamics and evaluation of the fuel inlet.  FieldView has been used to quickly analyze results from Ansys Fluent for multiple design iterations and on-track wind conditions. FieldView provided the capabilities to evaluate results and create high-quality, informative images, animations, and plots for presentation at design reviews.  The speed of FieldView and ability to work efficiently to analyze and compare multiple cases proved to be essential to the project.  Moreover, the functionality was accessible without the need to spend lots of time learning how to utilize the required features.  The use of basic automation including FieldView RESTART files saved Mr. Eminanlou days to weeks as he worked with successive design cases.

 

Good luck in Detroit gentlemen!

Roger Rintala

Infiniti Red Bull Racing expains the 2014 F1 Changes in New Video

Formula 1 is being transformed by major rule changes in 2014.  Our friends at Infiniti Red Bull Racing have produced a beautiful and compelling video to explain the changes for fans of engineering and racing.

 

RB10 Turbocharger

The new RB10 turbocharger as presented in Infiniti Red Bull Racing video explaining 2014 changes to F1 race cars. (courtesy of Infiniti Red Bull Racing)

For the Infiniti Red Bull Formula 1 team, the new RB10 will carry the hopes of Infiniti Red Bull Racing as they take on the new season and all the new rule changes for 2014.

 

Four-time Formula 1 Champion Sebastian Vettel will pilot the RB10 as will his new teammate, Daniel Ricciardo.  New driver Daniel Ricciardo has already proven he has the skills to compete alongside Vettel at the top of the sport.  Take a ride with the drivers as they explain the major changes for the RB10.

2014 brings huge changes including:

  • Increased fuel efficiency with new V6 hybrid engines (vs. last year’s V-8s) and first ever limits on fuel consumption.  35% fuel reduction per race.
  • Enough electrical power from the hybrid Energy Recovery System (ERS) for 33 seconds per lap of electric power at 160 bhp use (vs. last year’s 6 seconds per lap at 80 bhp)
  • Turbos are back using exhaust gasses to feed the ERS
  • Narrower front wing and elimination of the lower beam wing in the rear
Yves-Marie Lefebvre

Transient Post-Processing for a Full Car Thermal Validation Study

An Innovative Transient Post-Processing Approach for a Full Car Thermal Validation Study

Full car CFD simulation using STAR-CCM+ solutions. FieldView post-processing enables large scale transient cases to be productively analyzed.  To be presented at the 2014 STAR Global Conference.

Full car CFD simulation using STAR-CCM+ solutions. FieldView post-processing enables large scale transient cases to be productively analyzed. To be presented at the 2014 STAR Global Conference.

STAR-CCM+ and FieldView have been used, through an extract based post-processing workflow, to analyze a very large transient simulation case. This method not only allowed monitoring of simulation results over time, such as the maximum temperature of thousands of car parts and their comparison with the critical temperature of each material, but also allowed investigation of transient phenomena interactively in order to gain better understanding. To our knowledge, this work is unprecedented in the automotive industry.

Intelligent Light is proud of our partnership with CD-adapco. At the 2014 STAR Global Conference,  Yves-Marie Lefebvre, FieldView Product Chief, shared leading edge techniques and capabilities developed from our work with CD-adapco and leaders in automotive engineering.  The presentation demonstrated just how much CFD data can be efficiently created and utilized, compressing analysis cycles and delivering value from large scale, unsteady STAR-CCM+ simulations.

Roger Rintala

Infiniti Red Bull Racing – Formula 1 Domination in 2013

Red Bull Racing Team Supplier logoCFD 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!

Media

Whitepaper: Massive CFD Data Handled Quickly Without Compromise – Maximize Your CFD Investment

IL-ARG-CaseStudy-13-01_HighLiftMassive 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.

Get the Whitepaper