Intelligent Light and FieldView

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Come See Us at Overset Grid Symposium 2018!

We are happy to be sponsors of the symposium again this year and look forward to seeing you there.

There are three opportunities to meet us and learn more about our work with FieldView, VVUQ and ​Data Analytics:

  1. Tutorial on Monday: FieldView: Parallel Calculation, Remote Visualization, Automation and Extract Based Workflows (See below for details)
  2. Presentation during symposium: Spectre: A Computational Environment for Managing Total Uncertainty Quantification of OVERFLOW based CFD studies  (See below for details)
  3. Visit our table in the exhibit area
We look forward to seeing you there!
Turbulent Wakes of the Lillgrund Wind Farm, simulated with W2A2KE3D, in situ processing with VisIt / Libsim image rendered in FieldView
Data Courtesy: M. Brazell, A. Kirby, and D. Mavriplis University of Wyoming   Image by: Intelligent Light


Earl Duque, PhD Manager of Applied Research, Intelligent Light

Spectre: A Computational Environment for Managing Total Uncertainty Quantification of OVERFLOW based CFD studies

Dr. Earl P.N. Duque, Manager of Applied Research Group, Intelligent Light

The uncertainty in CFD based simulation results may be quantified through rigorous verification, validation and uncertainty quantification (VVUQ) procedures. Procedures and frameworks such as the ASME V&V 20, and Oberkampf and Roy Uncertainty frame work require extensive simulations, post-processing workflows and management of the simulation results to quantify the contributions of numerical uncertainty, model input uncertainty and model form uncertainty to the total uncertainty for any given study or design. To date, the application of VVUQ procedures were ad hoc implementations. Spectre is a new computational environment designed to enable CFD practitioners to easily quantify the total uncertainty in their computational study and campaigns. This presentation will present how Spectre makes use of "Wizard-based" user interfaces to guide the user through all the steps needed to arrive at the total uncertainty using the OVERFLOW2 code. Work in progress case studies based upon a UQ study of a NACA0012 airfoil at zero lift, a multi-element airfoil and the AIAA High Lift Prediction workshop Common Research Model will be presented.

Stephen Makinen, PhD Customer Application Engineer, Intelligent Light

FieldView: Parallel Calculation, Remote Visualization, Automation and Extract Based Workflows

Dr. Stephen Makinen, Customer Application Engineer, Intelligent Light

Synopsis: Modern high-fidelity physics simulation methods generate massive amounts of data, so a challenging scenario exists for efficiently processing results to create new knowledge. The rate of new data generation has far surpassed data rates for disk read/write operations and transfer from remote computational facilities. FieldView post-processing enables scientists and engineers to efficiently create new knowledge with scalable methods that navigate around these limitations. The FieldView tutorial will cover the following topics.

  • Overview of FieldView including new and upcoming features
  • Parallel calculations for efficient post-processing
  • Remote visualizations to reduce data transfer
  • Extract based workflows to minimize disk read/write operations
  • Data analytics for solution decomposition and insight into the underlying state-variables
  • Automation with Scripting
  • Discussion
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Live Webinar - Easy Access to CFD Data for Analysis

CFD Data Analysis with FieldView 17

LIVE Webinar

Thursday, May 3
12 noon ET (1600 GMT)

If you rely on Excel, Matlab, Octave and NumPy in your daily work, FieldView 17 allows fast I/O of CFD data for further analysis through MAT-File and CSV.

Query your CFD results at super-high speed (200,000 points/sec and more) from a list of points provided in *.mat, *.csv or plain text.

FieldView surfaces can also be exported to MAT-File and CSV to perform Reduced Order Analysis (DMD, POD, etc.), Fourier transforms and many more analyses.

Because performance matters, FieldView 17 also provides:

  • New built in Q-criterion function - easy to use and 10 X faster than previous FieldView
  • 10 X faster reading of arbitrary polyhedral cells
  • 2 X faster Surface Flow calculation
  • 40% faster reading of XDB extracts
Please join us for this live web event. If you would like to watch a recording, register now, and we will send you a note when the recording is available.

The 40 minute presentation will be followed by a live Q&A.


Presenter: 
Yves-Marie Lefebvre, FieldView Product Chief
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Making Collaborative CFD Fly

"This method of aggregating data and standardizing the interrogation of the data, especially large scale, full 3D multiphyisics data is very, very necessary and very, very useful. This partnership is exciting and we are exploring the boundaries of what we can achieve with this."

Nathan Hariharan
Chair, AIAA Helicopter Hover Prediction Workshop

The world's helicopter community came together to study the complex physics of rotorcraft in hover using CFD. They needed a HPC collaboration hub that minimized researchers' efforts to collaborate in full 3D. We made it work for the AIAA Hover Prediction Workshop and we can make it work for you.

Join Dr. Nathan Hariharan, Chair, AIAA Helicopter Hover Prediction Workshop, Dr. Earl Duque, Manager of Applied Research at Intelligent Light, and Michael Senizaiz, ‎Chief Technology Officer at R Systems, as they explore how work done to support the Hover Prediction Workshop is yielding valuable lessons for any organization looking to streamline its CFD workflow.

Learn how Intelligent Light and R Systems provide the CFD expertise and on-demand HPC capability to make high-performance CFD workflow a reality:

  • Enable data sharing among many disparate members of the organization: CFD Engineers, Designers, Managers and Customers
  • Compare many different cases, even those with different meshes or from different solvers, etc.
  • Derive higher order features, like vortex path, automatically for comparison
  • Standardize the workflow so that input from many groups can be compared side by side, both visually and numerically
  • Utilize on-demand HPC resources to run automated post-processing workflows across all the datasets producing standardized outputs and enabling collaboration

A live Q & A with the speakers will follow the presentation.

When: Tuesday, May 9, 2017, 2:00 PM Eastern

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FieldView Users in Australia Present a V8 Supercar CFD Webinar

Pressure iso-surface around the front wheel of the 2016 Volvo S60 supercar.


With limited track time and no wind tunnel testing allowed, see how V8 Supercar designers rely on CFD to understand the aerodynamic behavior of their cars.

Join FieldView users Scott Burch of Garry Rogers Motorsport and Darrin Stephens of Applied CCM Pty Ltd., on Tuesday, March 21, 2017, for their webinar: V8 Supercar design with CFD.


Learn more and register
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Live Webinar - Get to know FieldView 16.1

Send your data straight from FieldView to Youtube or PowerPoint with FieldView Update 16.1.

LIVE Webinar - Concluded

  • Tuesday, January 31, 2017
    2:00 pm EST (19:00 GMT)

  • Wednesday, February 1, 2017
    9:00 am EST (14:00 GMT)

Please join Yves-Marie Lefebvre, FieldView Product Chief for a live web event "Get to know FieldView 16.1"

We will demonstrate powerful new features including:

    • MP4 Video Export with Frame Rate Control: Straight from FieldView to YouTube and PowerPoint. Highest quality with reduced file size and maximum portability 
    • Logarithmic Colormap Scaling with Powers of 10 Annotation 
    • Improved Defined Views for easy Up Axis 
    • Surface Sampling for faster datasets comparison
    ​Plus dozens of helpful fixes and features as requested by our users. Including, new licensing options for today's HPC environments and enhanced security, Tkinter to enable Python GUI panels and VTK readers to support existing Catalyst extract workflows. 

    The 40 minute presentation will be followed by a live Q&A.


    Presenter: 
    Yves-Marie Lefebvre, FieldView Product Chief
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