Chemical Kinetics Modeling Tools for Hydrocarbon Scramjet Propulsion System Design

Award Information
Agency:
Department of Defense
Branch
Office of the Secretary of Defense
Amount:
$750,000.00
Award Year:
2006
Program:
STTR
Phase:
Phase II
Contract:
FA8650-06-C-2659
Award Id:
76630
Agency Tracking Number:
O054-002-1016
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
8940 Old Annapolis Road Suite L, Columbia, MD, 21045
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
018413208
Principal Investigator:
MichaelKlassen
Principal Research Engineer
(410) 884-3266
mklassen@csefire.com
Business Contact:
DouglasCarpenter
Vice President
(410) 884-3266
dcarpenter@csefire.com
Research Institute:
GEORGIA INSTITUTE OF TECHNOLOGY
Suresh Menon
School of Aerospace Engineerin, 270 Ferst Drive
Atlanta, GA, 30332
(404) 894-9126
Nonprofit college or university
Abstract
One of the difficulties in reactive flow simulation is the development of reduced models that are capable of predicting the non-equilibrium processes such as ignition and blow-out. Hydrocarbon fuels become viable alternatives to hydrogen at Mach numbers below 10, because of greater fuel densities and endothermic cooling capabilities. However, hydrocarbon fuels show difficulties for flame holding under supersonic conditions due to their long ignition delay times. In present approach, the fuel molecule breaks-down into CH2O and H2 and a detailed CH2O/H2/O2 reaction sub-set consisting of 14 species and around 40 reactions is used for accurate predictions. In Phase I, Combustion Science & Engineering, Inc. has demonstrated this approach for ethylene by implementing the reduced kinetic model in RANS and LES codes to predict combustion stability in WPAFB cavity flameholder experiments. The rate parameters for the fuel decomposition reaction are estimated from ignition delay time measurements. In Phase II, the model reduction strategy will be extended to JP-type fuels. Also, the model reduction procedure will be automated by implementing parameter estimation and optimization algorithms to validate and optimized the reduced kinetic model against detailed model predictions. This reduced kinetic modeling tool will be coupled with CFD codes for commercial applications.

* information listed above is at the time of submission.

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