New Paradigms in High Pressure Combustion Dynamics Prediction and Control

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$149,997.00
Award Year:
2013
Program:
STTR
Phase:
Phase I
Contract:
FA9300-13-M-1502
Award Id:
n/a
Agency Tracking Number:
F12B-T15-0146
Solicitation Year:
2012
Solicitation Topic Code:
AF12-BT15
Solicitation Number:
2012.B
Small Business Information
28632 Roadside Drive, #255, Agoura Hills, CA, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
879769180
Principal Investigator:
Sampath Palaniswamy
Chief Scientist
(818) 735-4880
sampath@metacomptech.com
Business Contact:
Sukumar Chakravarthy
President
(818) 735-4880
src@metacomptech.com
Research Institution:
Georgia Institute of Technology
Roberta Burke
505 Tenth St NW
Atlanta, GA, 30332-
(404) 385-2082
Nonprofit college or university
Abstract
ABSTRACT: The proposed work aims to build a physics-based rapid turnaround simulation capability for resolving combustion dynamics in liquid rocket engines operating at trans-critical and supercritical flow regimes. The methodology will explore both Reduced-Order Methods and Reduced-Basis Methods as potential candidates for efficient unsteady flow simulation, data storage and retrieval, and data reduction, as well as system identification and transformation of data to information and knowledge to support decision making at all levels. BENEFIT: This capability helps simulate, analyze, and predict combustion dynamics in rocket engines and gas turbine combustors at a computational cost about an order of magnitude less than what is currently needed. The increased efficiency comes with error bounds within tolerance levels that can be specified at run time. The building blocks of this methodology can also be used in data reduction and feature extraction in post processing field data from an unsteady-flow simulation. It has the potential to compress unsteady flow data to manageable levels for storage. In addition, the work will provide a basis for establishing practical means for transformation of data to knowledge to support decision making at all levels.

* information listed above is at the time of submission.

Agency Micro-sites


SBA logo

Department of Agriculture logo

Department of Commerce logo

Department of Defense logo

Department of Education logo

Department of Energy logo

Department of Health and Human Services logo

Department of Homeland Security logo

Department of Transportation logo

Enviromental Protection Agency logo

National Aeronautics and Space Administration logo

National Science Foundation logo
US Flag An Official Website of the United States Government