Application of RSM and Optimization to Plume Signature Analysis

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$99,999.00
Award Year:
2004
Program:
SBIR
Phase:
Phase I
Contract:
FA9300-04-M-3105
Award Id:
69563
Agency Tracking Number:
B041-033-1002
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
603 East Robinson Street, Suite 7, Carson City, NV, 89701
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
006620553
Principal Investigator:
Scott Palmer
Engineer
(916) 363-6162
scott@sierraengineering.com
Business Contact:
Curtis Johnson
President
(775) 885-0139
cwj@sierraengineering.com
Research Institution:
n/a
Abstract
We propose using response surface methodology (RSM) as a tool to better understand the effects of engine design parameters and operating conditions on plume signature, and to improve signature predictions through optimized selection of analysis inputs. Often rocket engine operating conditions and design variables are not well known, either because the systems being simulated are foreign, or because hardware designs prevent the accurate measurement or calculation of key conditions. For example, true injector element flow may be difficult or impossible to obtain due to pressure mal-distribution in the injector manifold. This innovative application of RSM could provide a method of selecting unknown or poorly known inputs by using plume observations as an input selection driver. In fact, inputs could be optimized to determine the most likely engine hardware design and operating conditions based on plume observations. The plume signature predictions resulting from the RSM optimized inputs are bound to be more accurate than inputs developed using current selection methods since the inputs will be selected to reflect known signature data.

* information listed above is at the time of submission.

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