Expert system for coherent feature detection in high-fidelity fluid dynamic simulations

Award Information
Agency:
Department of Defense
Amount:
$99,203.00
Program:
STTR
Contract:
FA9550-09-C-0020
Solitcitation Year:
2008
Solicitation Number:
2008.A
Branch:
Air Force
Award Year:
2009
Phase:
Phase I
Agency Tracking Number:
F08A-017-0223
Solicitation Topic Code:
AF08-T017
Small Business Information
Kitware
28 Corporate Drive, Clifton Park, NY, 12065
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
N/A
Principal Investigator
 David Thompson
 Associate Professor
 (662) 325-2068
 dst@ae.msstate.edu
Business Contact
 William Schroeder
Title: President
Phone: (518) 371-3971
Email: will.schroeder@kitware.com
Research Institution
 Mississipi State Univeristy
 David Thompson
 Walker Eng Bldg, Rm 319-C
2 Research Boulevard
Starkville, MS, 39762
 (662) 325-2068
 Nonprofit college or university
Abstract
Current computational fluid dynamics simulations produce large amounts of data. These data have become so large that traditional methods employing manual inspection and visualization cannot effectively process the information. Thus the value of these simulations is diminished because the information they contain is not fully utilized. We proposed to couple leading edge feature detection algorithms with an open-source visualization framework to create develop a flexible, robust, scalable and expandable framework that can be incorporated into industrial, commercial and research codes. Such a framework will enable broad collaboration, but still provide a platform for delivering proprietary modules for long term commercial potential. BENEFIT: This work will develop automated methods for identifying important features in computational fluid dynamics analysis. Such methods are critical to understanding the results of simulations, especially as the simulations become larger and more complex. Without such techniques, it is very difficult to effectively use modern computational tools.

* information listed above is at the time of submission.

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