Views from Intelligent Light

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 signi cantly. 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 eff ort.


Two data analysis techniques, Proper Orthogonal Decomposition (POD) and Dynamic Mode Decomposition (DMD), present themselves as viable techniques that work to fi lter 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 de fine 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.



High Lift Prediction Workshop (HiLiftPW-2)

FV14 multi-windows wing plot

HiLift Wing and plot
FieldView 14 allows multiple interactive views of datasets.

Intelligent Light has been performing a grid convergence study and a Reynolds number study using OVERFLOW2 and FieldView.  The results of this study will be presented at the 2nd AIAA CFD High-Lift Prediction Workshop Sponsored by the Applied Aerodynamics Technical Committee.


1. Case 1 – Grid Convergence Study

  • Code: OVERFLOW2 version 2.2e
  • Grid: Coarse, medium, fine, extrafine mesh density overset grids as supplied by HiLiftPW-2 committee
  • Turbulence model: k-w-SST or Spalart-Almaras as coded in OVERFLOW2 verison 2.2e

2. Case 2a, 2b, 2c – Reynolds Number Study

  • Code: OVERFLOW2 verison 2.2e
  • Grid: Medium mesh density overset grids as supplied by HiLiftPW-2 committee
  • Turbulence model: k-w-SST or Spalart-Almaras as coded in OVERFLOW2 verison 2.2e

The OVERFLOW2 code from NASA was applied to the configuration. The OVERFLOW2 code numerically solves the compressible form of the Reynolds-averaged Navier-Stokes equations using implicit finite differences and overset grids. It has steady state algorithms and unsteady algorithms that are 1st or 2nd order in time. OVERFLOW2 utilizes overset Cartesian grids and curvilinear grids that define the surface of the wing, flap, slat and fuselage. To simulate laminar flow and turbulent flow, it uses algebraic or
2-equation models and also has the capability to perform Detached Eddy Simulations.

June 22-23, 2013
Associated with the 31st AIAA Applied Aerodynamics Conference, San Diego, CA.

CFD Canada 2013

Intelligent Light will participate in the 21st Annual Conference of the CFD Society of CanadaCFD Society of Canada to be held May 6-8 in Sherbrooke, Quebec.


On Wednesday, FieldView Product Manager, Matthew N. Godo, Ph. D. will lead a 30-minute demonstration of FieldView.  See just how capable and accessible CFD can be.  The demonstration will be performed the latest FieldView release, now in beta testing.  See what the early users are so excited about!


Then, in the main sessions, Dr. Godo will present  “On the Aerodynamics of Racing Bicycles” , a peer reviewed study in efficient CFD workflows for production environments.  The presentation shares the lessons learned in working with a small manufacturer to deliver high-performance CFD for use by an existing engineering team. Early results lead to tremendous productivity, expanded design exploration, and more good new ideas.  The company product doubled revenue and added 120 new manufacturing jobs to meet the new demand for a great product.   They added no new engineering or IT staff but are working with state of the art tools and workflow design.


If you will be at CFD Canada, don’t miss Dr. Godo’s presentations.


Webinar: Break Through CFD Bottlenecks with Engineered Workflows

Join us for a free webinar
Computational Fluid Dynamics (CFD) has become a vital part of your engineering process.   Advances in computing on parallel clusters and cloud resources are enabling higher fidelity in meshes, unsteady calculations, and design space exploration. However, the time and resources required for post-processing huge and numerous cases have become a burden and even a bottleneck in turning out improved designs on schedule and within budget.


Steve M. Legensky, Founder and General Manager and Matthew N. Godo, PhD., FieldView Product Manager, will show you how to implement cost-effective ‘engineered workflows’ to leverage your know how into an automated process that yields speed-ups of four to ten-fold.

More information and registration


OVERFLOW Tips and Tricks

Dr. Earl Duque, Intelligent Light’s manager or applied research and Overflow expert is presenting a tutorial at the Overset Grids Symposium.

Whitepaper: Tips and Tricks for Post-Processing OVERFLOW Results using FieldView 13

Synopsis: As an OVERFLOW and FieldView user for several years, I’d like to share with you several methods I’ve used for getting my work done in a more efficient manner. With the most recent version, FieldView 13, you’ll find new features and workflows that will benefit your work. From reading your data more completely using the new OVERFLOW direct reader to using our XDB technology to reduce your saved data, I’m sure you may find that at least one of the “Tips and Tricks” contained in this talk will be useful to your daily work.

Download our whitepaper  Tips and Tricks for Post-Processing OVERFLOW Results with FieldView 13.