This turbine blade simulation result was awarded “Most Quantitatively Descriptive Flow Visualization Animation” in the Visualization Showcase at AIAA Aviation 2015. The achromatic colormap enhances the presentation of the numerical differences.
–click image for animation
I attended the AVIATION 2015 meeting in Dallas last month. I had a great time meeting with colleagues, listening in on great papers and presenting my own work. The week started with my presentation for the CFD Visualization Showcase session where I was awarded the “Most Quantitatively Descriptive Flow Visualization Animation” which highlighted the animations and images from my paper “EPIC – An Extract Plug-In Components Toolkit for In situ Data Extracts Architecture“. The paper was presented at the “Post-Processing and Model Reduction” session.
In both the animations and the paper, I made use of FieldView’s achromatic colormaps. I’ve found that the “Achromatic Vision 1″ colormap, easily selected from the new colormap selector in the colormap tab (no more hunting around for user defined colormaps!!!) does a much better job at highlighting flow features that I didn’t see using the default Spectrum colormaps. I use the Achromatic Vision 1 almost exclusively now for all my visualizations.
In addition, I took part in a panel discussion “The Path to CFD Visualization in 2030″ where we discussed our ideas regarding “Facing the Knowledge Extraction and Visualization Challenges of the NASA CFD 2030 Vision”. During this panel, I described how CFD analysts require the ability to simultaneously compute both very large simulations and large numbers of simulations. Code verification/validation and uncertainty quantification studies also drive the need for unsteady solutions consisting of billions of grid points and large ensembles of non-deterministic solutions. These types of studies are enabled by: In situ data processing where the solver directly outputs FieldView surface extracts, FieldView XDB workflow and the use of XDBview.
In order to extract actionable knowledge and create visualizations of these extensive datasets, my Applied Research Group is developing new capabilities for CFDers through our DOE sponsored research with the VisIt code and the Air Force Research Lab EPISODE project (the paper I presented at AVIATION2015). In the coming months, I will be working with the other panelists on a paper that we’ll present at SciTech2016.
XDBs files and XDBview were critical to this work.
Learn more about in-situ post-processing with XDB workflows:
Join us in booth 217 to learn about the latest in CFD Post-Processing and Workflow Automation.
Joe Oliver, Global Sales Manager, and Mike Burklund, Customer Applications Engineer, will be on hand to discuss your CFD work and how recent developments by Intelligent Light can help you.
Live Event – Thursday, May 21, 2015 – 12:00 Noon, EDT
The archive for this webinar is now available.
CREATE™–AV team and Intelligent Light tackle 45 seconds of flight time with unique In-situ XDB workflow
Click to access animation and event info
With a goal of improved pilot training for Sea-based aircraft operations, the CREATE™–AV team took on the task of coupling CREATE–AV Kestrel to the Navy flight simulator CASTLE. This two-way coupling might lead to better simulation of a difficult landing environment.
The high temporal fidelity of 45 seconds at 60 files per second meant that an innovative approach would be needed to handle the data. The CREATE™–AV team reached out to Intelligent Light for help.
I hope you will join me for this live event.
Jim Forsythe, Ph.D., Software Quality Assurance, CREATE-AV
Brad Whitlock, Post-Processing & Visualization Engineer, Intelligent
Accelerating the Post‐Processing of Large Scale Unsteady CFD Applications via In Situ Data Reduction and Extracts
Dr. Earl P.N. Duque
Manager of Applied Research, Intelligent Light
Tuesday, April 14th, 2015
Lehman Building Room 272
Writing, storing, moving and post‐processing vast unsteady datasets can interfere with an engineer’s interpretation and reporting of results. This seminar will present ongoing research to develop new methods designed to extract and reduce large unsteady CFD derived volumetric data. In‐Situ data extraction whereby sub‐setting and segmenting the volume data using data extraction and analysis libraries directly integrated within the solver codes themselves is the first step. To further reduce the amount of unsteady CFD extract data written to disk, methods such as Proper Orthogonal Decomposition may be used to reconstructed the solution data within a given error band. This seminar will present preliminary research and how the CFD could use these techniques to analyze their large‐scale CFD solutions.
BIO: Dr. Duque manages the Applied Research Group at Intelligent Light, the makers of the leading CFD post‐processing software FieldView. Previous to Intelligent Light, he was a tenured Professor of Mechanical Engineering at Northern Arizona University. Prior to his time at the university, he was a Research Scientist for the Army’s Rotorcraft CFD Applications Group located at the Numerical Aerodynamic Simulation Facility at NASA Ames Research Center. His current research focuses upon the development of large scale data management techniques for multi‐physics simulations. He has been awarded the Lichten Medal from the American Helicopter Society for his pioneering CFD studies on the BERP helicopter rotors, the Army Superior Civilian Service Medal for his lead role in the use of CFD to study and alleviate vibratory load problems on the Apache‐Longbow and Comanche Helicopters and is an Associate Fellow of the AIAA.