Intelligent Light and FieldView

5enses Magazine Profiles IL's Earl Duque

Go Figure: Art and science cast in Intelligent Light for Earl Duque

Our own Earl Duque, Manager of Applied Research, was interviewed and profiled for art and science magazine 5enses.

"These visualizations help people understand what we’re doing, they’re beautiful and compelling, and can certainly be viewed as art, there’s hardcore engineering behind them, as well.” - Earl P. N. Duque, Ph. D.

Earl taught me how to do CFD computations in a thorough, professional manner … and to always question my results and make sure they were right, these aren’t skills I learned in a classroom... he instilled these practices in me.” - Abigail Arington

Read the article


Accelerating product engineering at smaller organizations

Zipp Speed Weaponry

Intelligent LightCase 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

Related articles:

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

Aerospace America - June 2013 advert

Our June, 2013 advert features a FieldView 14 Sneak Peak and a preview of our participation in AIAA's High Lift Workshop.

FV14 Sneak Peak, AIAA Hi-Lift Workshop preview

click for full size image

AIAA Aerospace America logo

Aerospace America logo copyright American Institute of Aeronautics and Astronautics


VINAS Spring Seminar 2013

VinasIntelligent Light's representatives in Japan will host IL staff as a part of their 2013 CFD Top Solutions CFD Seminar.  Intelligent Light will present the latest in High Performance CFD for this Japanese audience from across industry and academia.

Introducing FieldView 14 for High Performance CFD
Presenter: Yves-Marie Lefebvre, Sales and Support Engineer, Intelligent Light

Presentation abstract:

Over the last couple of years, FieldView has made a breakthrough in CFD post-processing thanks to innovative Data Management methods and powerful Automation tools. This spring, FieldView comes back with its biggest release in years, packed with new capabilities, including the best multi-window implementation in our industry.

This presentation will introduce these improvements through actual industrial examples. Mr. Lefebvre has over 10 years of experience in CFD post-processing and worked with several Formula 1 teams on the deployment of FieldView Data Management and Automation solutions through Intelligent Light's High Performance Solutions Program.


AIAA Joint Propulsion Conference

Intelligent Light will be in San Jose, CA for the AIAA Joint Propulsion conference.  Dr. Earl AIAA JPC 13Duque, IL's manager of applied research is a co-author on a paper "Applications of Dynamic Mode Decomposition and Snapshot POD to Time-Accurate Turbomachinery CFD" which will be presented by Trevor Blanc of Brigham young University.

Applications of Dynamic Mode Decomposition and Snapshot POD to Time-Accurate Turbomachinery CFD

Trevor J. Blanc and Steven E. Gorrell and Matthew R. Jones

Brigham Young University, Provo, UT, USA

Earl P.N. Duque

Intelligent Light, Rutherford, NJ, USA

Post-processing of both experimental and Computational Fluid Dynamics (CFD) analyses has always been an integral element to understanding the results of a case study. However, with the increase in computing power and development of high frequency experimental measurements, the amount of data to process has grown signicantly. Working with large data sets often poses a problem for users because there is so much information available that sifting through the data requires a lot of time, and any extensive inquiry into flow characteristics can be cumbersome. Thus, the goal of post-processing is to recover the most information using the least amount of time or effort.

Two data analysis techniques, Proper Orthogonal Decomposition (POD) and Dynamic Mode Decomposition (DMD), present themselves as viable techniques that work to filter through large data sets and gather the most relevant flow information. The POD often goes by a variety of names depending on the application, such as Principal Component Analysis, the Karhunen-Love Decomposition, and Singular Value Decomposition. Using the POD method of snapshots as presented by Sirovich,. one can isolate the main modes from which a flow is constructed. Within these modes contain statistical information that define the coherent flow structures that relate to the physical phenomena present. The DMD is a relatively new technique developed by Schmid that serves to isolate the dynamic modes present within a data set. It is a way to observe the modes characterizing the evolution of the flow through time as well as isolating the coherent structures present in the flow field.

These analysis techniques have been applied to PIV cases and both simple and turbulent CFD flows but have yet to be applied to large, unsteady, and time-accurate turbomachinery simulations. Therefore, it is advantageous to observe the relevance of the POD and DMD within the realm of these highly complex flows.