Plume EO-RCS Data Fusion

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0147-11-C-7710
Agency Tracking Number: B2-1779
Amount: $999,933.00
Phase: Phase II
Program: SBIR
Awards Year: 2011
Solicitation Year: 2009
Solicitation Topic Code: MDA09-033
Solicitation Number: 2009.3
Small Business Information
6210 Kellers Church Road, Pipersville, PA, -
DUNS: 929950012
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Neeraj Sinha
 Vice President&Technica
 (215) 766-1520
 sinha@craft-tech.com
Business Contact
 Brian York
Title: Principal Scientist&Tre
Phone: (215) 766-1520
Email: york@craft-tech.com
Research Institution
 Stub
Abstract
Characteristics of missile plume UV/Visible emissions & RCS have a great potential to enhance defensive capabilities in several areas related to Ballistic Missile Defense Systems (BMDS). Supporting MDA"s engineering applications related to missile typing, discrimination, tracking, algorithm development, etc. requires estimation of many parameters by the plume models, which can be very expensive for complex targets that are not easily measured. High-fidelity, 3D plume modeling of threat systems is now at an advanced stage, utilizing a MDA-sponsored highly efficient, 3D CFD plume models except for a class of systems that exhibit a unique behavior of the plume flame structure and infra-red (IR) emissions during afterburning shutdown or cessation. This class of systems exhibit very rapid afterburning shutdown that is difficult to accurately predict with current modeling approaches. Under the proposed effort, an Afterburning Shutdown Model will be developed and validated for accurately simulating the characteristics of a wide class of systems spanning amine fuels, liquid hydrocarbon fuels, conventional solid propellants, etc., as well as both small and larger thrust systems. These next-generation capabilities will be implemented within the MDA/DESL RPFM2D/RPFM3D plume simulation tools that will facilitate plume EO-RCS data fusion by employing the same RPFM plume flowfield prediction.

* Information listed above is at the time of submission. *

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