Views from Intelligent Light
Atsushi Toyoda

Intelligent Light Proudly Supporting Aerospace Fluid Science Summer School 2015 in Japan

Students from all over Japan who are pursuing Masters and Ph. D degrees in fluid dynamics will get together from August 2-4, 2015 at Yugawara, Kanagawa-ken to share their work. Unlike conferences, the purpose of the gathering is to conduct detailed discussions of their work and get advice from the students and professors from outside of their universities.  Intelligent Light will help students to conduct higher level research by supporting this event.


Intelligent Lightは2015年航空宇宙流体科学サマースクールを応援します

8月2日から4日に神奈川県湯河原町にて行われる2015年航空宇宙流体科学サマースクールの開催に弊社は協力させて頂きます。本サマースクールは日本国 内の多くの流体を専門とする修士及び博士学生が参加し、自身の研究発表および意見交換を行う場となっています。学生達がよりよい研究をよりよい環境で行え る様、支援する方針です。


Yves-Marie Lefebvre

FieldView Patch Release 15.1 Now Available


New Surface Flows seeding option, improved readers, growing pathlines and many more improvements

Surface Flows obtained with the new “From File” seeding option

Surface Flows obtained with the new “From File” seeding option


The FieldView Development Team has been working hard on great new capabilities for FieldView 16, coming this fall. We’re halfway through our yearly release cycle: the perfect time to step back and package all the new capabilities and improvements already available so you can benefit from them now.


Our recently adopted Agile development method allows us to deliver this patch release quickly so we can spend more time working on FieldView 16.  Only some of the files in your FieldView 15 installation will be updated in the process. Our next full installation package will come with FieldView 16, which will be a new major release of the type our users are more familiar with.


Highlights of this patch release are:

  • More control over the location of Surface Flow lines with the new “From File” seeding option.
  • 4x faster read times for the AcuSolve Direct Reader.
  • Parallel post-processing and support for FLOW-3D v11 with the FLOW-3D Direct Reader.
  • Animate the full path followed by your particles over time, even in moving grids, with the new “Growing” display type for particles.
  • Save time on particle animation by reading a single time step and animating only your particles with the new “Read as Steady State” option for single-file transient results.
  • Increased maximum parallel partitions count.
  • Changing grid counts in PLOT3D Function files during transient sweep.
  • A more verbose mode for debugging corrupted arbitrary polyhedra from your solver export.
  • And over 20 additional fixes and improvements…


Check out the full details in the What’s New in FieldView Patch Release 15.1 document.


The FieldView patch release 15.1 is an upgrade to your FieldView 15 installation. It will run with your current FieldView 15 passwords. It is available for download from the FieldView Customer Center.

Earl Duque

AIAA AVIATION 2015 – Working with large data of today and tomorrow

Turbo image/animation from AIAA Aviation 2015

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:

Earl Duque

Unraveling the Mysteries of Turbulence Transport in a Wind Farm

A joint paper with Prof. Sven Schmitz was just issued in the ”Wind Turbine 2015″ special issue of the online journal Energies.


This paper entitled “Unraveling the Mysteries of Turbulence Transport in a Wind Farm” is co-authored with Pankaj K. Jha 1, Earl P. N. Duque 2, Jessica L. Bashioum 1 and Sven Schmitz 1,*


For this project, we used FieldView XDB workflows to enable the investigation of “mysteries involved in the recovery process of the wake momentum deficit, downstream of utility-scale wind turbines in the atmosphere.”  The “High-resolution surface data extracts provide new insight into the complex recovery process of the wake momentum deficit governed by turbulence transport phenomena. “

Roger Rintala

Reduce Data Three Orders of Magnitude while Retaining Full Fidelity


Work presented at the AHS 70th Annual Forum demonstrates that extracts are invaluable for both data reduction and quantitative analysis.


In their paper, “Turbulence Transport Phenomena in the Wakes of Wind Turbines”, Jha et al, show that data reduced by three orders of magnitude still retains full fidelity enabling quantitative analysis not possible before.


See the movie created for this project

Review the paper