Intelligent Light and FieldView

“Wow 5.7M points took less than one minute to point probe using Fieldview 17! This is substantially faster than my solver's tool.”

Modal Analysis with FieldView 17

CFD Data Analysis with FieldView 17
   
Thursday, May 3 
12:00 noon EDT (16:00 GMT)
          Sign Up Button

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.

Please join us.

Thursday, May 3  
  • 12:00 noon EDT (16:00 GMT)

  • Sign Up Button

 Presenter

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Yves-Marie Lefebvre
FieldView Product Chief
Intelligent Light

 
 

 

“Wow 5.7M points took less than one minute to point probe using Fieldview 17! This is substantially faster than my solver's tool.”

Modal Analysis with FieldView 17

CFD Data Analysis with FieldView 17
 
View the On-Demand Webinar

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

If getting your CFD data into Analysis tools faster and easier is important to you, contact: sales@ilight.com

View the On-Demand Webinar

 

Presenter


yml headshot2 sm
 

Yves-Marie Lefebvre
FieldView Product Chief
Intelligent Light

 

Webinar IL Cray thin154 final

The archive for this webinar is now available. View Recording.

Dr. Earl P. N. Duque will present "Real World Example Cases: Analysis From Wind Energy and High Lift Drag Prediction Workshop Simulations."

You will learn about methods for:

  • 100X to 1000X Data Reduction
  • Effective use of remote HPC resources for both interactive and batch operations
  • Working with data from multiple solvers including OVERFLOW2, OpenFOAM

“Cray systems provide central computational resources at commercial, academic and government centers around the world; often serving distributed user communities.  Efficient tools to analyze CFD simulation results and enable the remote user community are essential.   Management, automation, and remote visualization capabilities in FieldView are a proven technology for post processing whether the data is across the room or across the country. Cray is pleased to work with Intelligent Light to ensure this is a robust and efficient solution.”

                                                 Per Nyberg, Director of Cray Business Development

This work was recently awarded the IDC HPC Innovation Excellence Award. “For the Outstanding Application of HPC for Business and Scientific Achievements."
 
Dr. Duque will be joined by Greg Clifford, Manufacturing Segment Manager at CRAY.  Cray is partnering with Intelligent Light to help meet the data management and remote visualization demands of their clients.  The material provided in this webinar is a great example of how simulation data management can be done effectively in a Cray environment.
 
A question and answer session will follow the webinar.
 
 

Webinar

The archive for this webinar is now available. View Recording.

Presenters

Duque 3 clifford 3

Earl P. N. Duque, Ph. D., Manager of Applied Research, Intelligent Light

Greg Clifford, Manufacturing Market Segment Manager, Cray

 
 

 

On Demand webinar.  Join Torbjörn Larsson, Creo Dynamics AB, and Yves-Marie Lefebvre, Intelligent Light, to learn how an extract-based workflow via FieldView XDBs enables Formula One teams to achieve their throughput goals.

View the full webinar or segment of your choice

 

  Complete   55m  Full Webinar
 
  Part 1   5m  Intro to Formula One - rules, exterior shaping...  
  Part 2   16m   Aerodynamics - forces, points, lap time...  
  Part 3   11m   Finding Aero Performance - tools, philosophy, strategy  
  Part 4   8m  CFD Workflow - challenges, strategies
How much CFD data needs to be processed? What are we looking at?
 
  Part 5a   13m  CFD Data Analysis - Effects from wind direction, pressure differences and distribution.  
  Part 5b   18m   How to process and deliver all that CFD data on time?
♦ Thousands of cut planes per case 
♦ Thousands of cases 
♦ Developing a high performance CFD workflow
with Intelligent Light
 
  Part 6   1m  Conclusions  

Larsson


You will learn: 

  • How F1 teams rely on automation to achieve exceptional results
  • Why traditional automated post-processing is no longer feasible
  • How FieldView XDB workflow makes success possible
  • How you can benefit from XDB workflow to get high quality results faster, save less data and share results across your entire enterprise

Speaker Biography

Torbjörn Larsson has an impressive background in aerodynamics and CFD methodology. His track record in Formula 1, most recently at Ferrari, establishes him as a preeminent CFD workflow engineer. He has been instrumental in building up the CFD department for the Sauber F1 team and has since led the CFD teams at Sauber, BMW and Ferrari to much success in Formula 1.

Mr. Larsson is a fluid dynamics and CFD methodology engineering consultant at Creo Dynamics AB, helping organizations improve the efficiency of their CFD operations.

Presenters

"The "traditional" way of post-proccessing, loading each full CFD database and performing various data operations and comparisons is not feasile, not even if it is being fully scripted and automated!"

- Torbjörn Larsson, Creo Dynamics

 Larsson Photo   yml headshot2 sm

Tobjörn Larsson
Fluid dynamics & CFD methodology
Engineering Consultant, Creo Dynamics AB

 

Yves-Marie Lefebvre
FieldView Product Chief, Intelligent Light

 
 
 

IL CSI webninar keyimage640

The archive for this webinar is now available. View Recording!.

This webinar includes a live interactive sessions with complex data. However, the webinar format requires substantial degradation of graphics performance. To give you a realistic view of interactive performance we are providing a movie of a live screen capture of an interactive session. We are also providing two high quality versions of the movies that were show during the event.

See what the FieldView user's experience looks like by downloading and viewing the following videos:
  1. In-Cylinder Combustion 3-Views
  2. In-Cylinder Combustion 4-Views
  3. In-Cylinder Combustion interactive exploration of transient sequence

You will learn how to:

  • Create and analyze ICE simulations with hundreds of time steps using hundreds of thousands of simulated particles
  • Interactively explore this high fidelity data to improve understanding of your results
  • Exploit a data management strategy to make these large problems tractable

Learn how you can create and analyze ICE simulations with hundreds of time steps and hundreds of thousands of simulated particles. Interactively explore your high fidelity data to improve understanding of your results.

Attend this special webinar by Intelligent Light and Convergent Science to see how you can escape current limitations and achieve more from your CFD.

An innovative transient post-processing approach for ICE simulations

In the quest to improve simulation accuracy, and fueled by the rise of HPC, simulations are being performed on ever finer meshes and with larger number of particles. In the case of internal combustion engine CFD, which requires very long transient runs in order to reach convergence, this has become problematic due to the huge amount of data and the time it takes to review it.

This presentation will describe, through an ICE case study simulated with CONVERGE, an innovative post-processing approach that allows interactive analysis of several hundreds of time steps, containing hundreds of thousands of simulated particles.  Combined with more traditional methods (transient animations, time history plots...), this interactive investigation technique will provide unprecedented insight to complex transient flows.

A question and answer session will follow the webinar.

Webinar

The archive for this webinar is now available. View Recording.

Presenters

ClaytonGrow 2 Yves-Marie Lefebvre 3

Clayton Grow, PE,
Account Engineer, ConvergenScience, Inc.

Yves-Marie Lefebvre,
FieldView Product Chief, Intelligent Light