Intelligent Light and FieldView

Steve Legensky at 70th HPC User Forum

​On Thursday, September 6, I will present "Data Science meets CFD:  FieldView Analytics in Engineering" at the 70th HPC User Forum in Detroit, MI.

I am pleased to have been asked to update the HPC community on our vision for using data science to complement and enhance CFD in science and engineering. This is a very active area of research today. In March Intelligent Light was honored to participate in the "US-Japan Workshop on Bridging Fluid Mechanics and Data Science" in Tokyo, the first such event in history. We have been meeting with our FieldView customers throughout the world to understand their needs and to see how we can help them solve problems through FieldView Analytics. Data science can help us to better understand the dynamical systems represented by CFD simulations and revealed by experiments, with the goal of getting better designs sooner with less computation.

For more info on the 70th HPC User Forum: www.hpcuserforum.com

The Agenda can be seen here: https://www.hpcuserforum.com/downloads/agenda.pdf

0 Comments

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
0 Comments

Come See Us at CONVERGE User Conference Europe

Visit us at our exhibit table and attend our presentation to learn how FieldView can help you advance your CFD.

We are please to sponsor the conference and to meet with CFD practitioners who want to increase throughput and enhance the quality of their post-processing products.

Yves-Marie Lefebvre, FieldView Product Chief

Interactive Exploration of High Fidelity ICE Simulations

20 March 2018
2:30 PM

Yves-Marie Lefebvre will expand upon his presentation of "Interactive Exploration of High Fidelity ICE Simulations" by detailing techniques for interactive post with large data including sweep caching and the use of XDB extracts.

Request a meeting

Animation from Interactive Exploration of High Fidelity ICE Simulations 

0 Comments

ScienceNode: Wind Farm CFD by University of Wyoming and Intelligent Light

In Situ processing enables full wind farm simulation by reducing file size from 234TB to under 1TB

Excerpted from an article originally published on ScienceNode. Read the complete article

Researchers at the University of Wyoming (UW) and Intelligent Light are working hard to improve the efficiency of wind energy. One aspect they're currently investigating is the use of computational fluid dynamics (CFD) to simulate, predict, and improve the performance of wind farms.

CFD uses supercomputers to model the behavior of fluids such as air or water over moving surfaces. In this instance, UW professor of mechanical engineering Dimitri Mavriplis and Earl Duque at Intelligent Light turned to CFD to study how wind currents transform after coming into contact with a moving turbine's blades in the context of a complete wind farm.

Using the Cheyenne supercomputer at the National Center for Atmospheric Research (NCAR)-Wyoming Supercomputer Alliance, Duque and UW researchers Mavriplis, Michael Brazell and Andrew Kirby were able to model wind farms in unique ways. 

What really makes their research unique is the use of in-situ processing. Unlike traditional visualizations produced from stored data, in-situ processing means that visualizations and analysis can be created as a simulation takes place, without writing to disk.

In-situ processing eliminates file transfer bottlenecks, allows increased fidelity, and faster turnaround. 

"In-situ has helped reduce the amount of 3D data that we need to store. Just the restart files take 10 TB on a 12-hour run. Automation has gone way up; we have scripts that go straight from simulation to animation. Also, in-situ has helped with debugging—I don't need to pull down 3D data, and I can just use slices, save those to a FieldView XDB file, and then view that on my local machine."

Michael Brazell, University of Wyoming

Excerpts trom an article was originally published on ScienceNode.org. Read the original article.

CFD images courtesy of Prof. Dimitry Mavripilis and Andrew Kirby, University of Wyoming, an Intelligent Light University Partner.
 
0 Comments

Cranfield University - Teaching Fluid Dynamics with FieldView

Cranfield University has deployed FieldView in their Computational Fluid Dynamics (CFD) program for Master and PhD students. Dr. Antonis F. Antoniadis is the course director of the MSc in CFD at Cranfield University and also the curriculum designer:

The Masters program will provide a cohort of 50 students with access to and lessons in the use of FieldView for interpreting CFD.

MSc in CFD students at Cranfield University learn the fundamentals of CFD i.e. numerical methods fluid mechanics and heat transfer, programming and high performance computing (HPC) as well as data analysis. The course uses CFD codes like Fluent, STAR-CCM+, Pointwise, open-source and in-house solvers. Students develop their own solvers and use Fieldview to debug their codes and interpret results. The course is also focused on the applications of CFD for various industries including aerospace, automotive, energy and discrete manufacturing. The students are using state-of-the-art HPC facilities to solve industrial-scale problems and employ FieldView to visualize and post-process data.

"FieldView is another excellent addition to our CFD software envelope within our course. FieldView makes post-processing and visualisation tasks much easier than ever before. The intuitive interface also enables students to work with complex CFD data very quickly. We are thrilled by the support of AC&E and the quality of the FieldView workshop delivered by Anthony Mosquera"

Dr. Antonis F. Antoniadis
Director of MSc in Computational Fluid Dynamics at Cranfield University

Course info for: Computational Fluid Dynamics MSc

Support for the program is provided through the Intelligent Light University Partners Program and Applied Computing and Engineering (AC&E) who provides local training & support. 

0 Comments