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!
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
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.
Get the Case Study
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
Dr. Earl Duque, Intelligent Light’s manager or applied research and Overflow expert is presenting a tutorial at the Overset Grids Symposium.
Whitepaper: Tips and Tricks for Post-Processing OVERFLOW Results using FieldView 13
Synopsis: As an OVERFLOW and FieldView user for several years, I’d like to share with you several methods I’ve used for getting my work done in a more efficient manner. With the most recent version, FieldView 13, you’ll find new features and workflows that will benefit your work. From reading your data more completely using the new OVERFLOW direct reader to using our XDB technology to reduce your saved data, I’m sure you may find that at least one of the “Tips and Tricks” contained in this talk will be useful to your daily work.
Download our whitepaper Tips and Tricks for Post-Processing OVERFLOW Results with FieldView 13.
Unsteady rotorcraft CFD analysis can generate mountains of grid and solution data, making transfer across networks time-consuming and often impractcal. Further the large data places a strain on available storage resources. XDB-based CFD workflow, made possible by FieldView 13, enables analysts to significantly reduce data size and better utilize remote HPC systems, achieving dramatic performance and productivity gains in the process. The means getting to answers faster and more cost-effectively than ever before.