Intelligent Light and FieldView

CFD Melbourne Meet Up

FieldView users down under got together this month with other CFD users for the 3rd CFD Melbourne Meet Up. Long time FieldView user, Dr. Peter Witt of CSIRO, presented his work as Research Team Leader using CFD for the mineral processing, chemical processing, petroleum and power generation industries.

Co-sponsored by our partner John Brookes of ATD International, and by Darrin Stephens of Applied CCM, and Cray, Inc., the Meet Up is a chance for CFD practitioners to come together to compare tools and techniques and learn about recent advancements in CFD. Two more Meet Ups are scheduled for later this year.

Dr. Peter Witt of CSIRO, at CFD Melbourne Meet Up

For more info and to participate in future Meet Ups, contact Darrin Stephens, Applied CCM.

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EPISODE: A new user interface to automatically Extract, Reduce and Sort Large CFD Parametric Studies

Intelligent Light R&D continues to produce new tools for large scale CFDParametric Studies. EPISODE is a new large scale data management tool that enables an engineer to readily extract knowledge and insight from their large scale physics based simulations and experimental data. EPISODE provides tools that enable the user to create a relevant subset of their solution results via in-situ data extraction at regions of interest, further reduce the size of that data via proper orthogonal decomposition (POD), and then sort the parametric space of both the input and output solver parameters using self organizing maps (SOMs).

This project consists of new data extracts and compression methods based upon POD (proper orthogonal decomposition) and image compression methods such as JPEG. In addition, we're developing a new UI based upon self organizing maps  which will automatically sort a large number of simulations based upon the parametric inputs and outputs. The result is a set of colored maps that helps to determine the trends in the data.  The user will be able to click on different areas of the map which will then display the results in FieldView. The results may be directly from the CFD solver, reconstructed from the POD or it may be computed from a reduced order model (ROM) that was derived from the CFD and POD results.

The EPISODE project will address limitations of current data analysis tools by:

  • Performing data management and post-processing in-situ, without writing to storage and without direct engineer interaction.

  • Maintain ability to support high-frequency information for maximum temporal fidelity.

  • Handle both experimental and computational data together, supporting automated batch processing.

  • Deliver post-processing capabilities to rapidly collect engineering information such as mass flows through a passage, FFTs, etc.

Key project collaborators include:

  • Robert Haimes from MIT - Haimes' expertise will support the development of a scalable data extracts architecture and plug-in components.

  • Prof. Steven Gorrell from BYU - Professor Gorrell contributes CFD domain expertise in applications for gas turbines.

This work is sponsored by the Air Force Research Laboratory (AFRL) through a Phase II SBIR, Contract FA8650-14-C-2439, and TPOC Michael List.

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FieldView Helps Launch a SmartFish

Desktop Engineering published an article (Jan 2009) featuring the use of FieldView CFD Smartfishpost-processing in the development of a new aircraft concept in development by a small but creative team who's simulation tools are allowing them to develop an aircraft using ingenuity, creativity, and readily available CFD simulation tools.

"...an automated process can produce simulations and results of more than 100 different design variations overnight.”- Koni Schafroth, CEO, Team SmartFish

Schafroth credits FieldView’s ease of use and visualization capabilities with providing the team an advantage in getting more information in less time.

FieldView’s user interface is intuitive enough that I can go without using the tool for several weeks and then come back and pick up right where I left off using restart files with new or existing data.”- Koni Schafroth, CEO, Team SmartFish

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