Development of High-Fidelity Modeling Tools to Predict Radiative Signatures from Hypervelocity Impact Flash Events

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0006-08-C-7933
Agency Tracking Number: B063-047-0144
Amount: $1,500,000.00
Phase: Phase II
Program: SBIR
Awards Year: 2008
Solicitation Year: 2006
Solicitation Topic Code: MDA06-047
Solicitation Number: 2006.3
Small Business Information
455 Science Drive, Suite 140, Madison, WI, 53711
DUNS: 024968708
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Joseph MacFarlane
 (608) 280-9182
Business Contact
 Joseph MacFarlane
Title: President
Phone: (608) 280-9182
Research Institution
The objective of this project is to develop and benchmark advanced physics-based modeling techniques that can be used to reliably predict radiative signatures emitted during the early-time impact flash phase of hypervelocity impact events. Impact flash spectroscopy (IFS) has the potential to identify the presence of special nuclear materials based on radiation emitted during the impact flash phase of hypervelocity interceptor-missile collisions. Utilization of IFS as a reliable approach for missile defense engagement analysis requires a well-developed understanding of the evolution of the gas and particulate environment created during the impact. This can be accomplished with the use of well-tested codes that simulate both the hydrodynamic breakup and expansion of the target and interceptor debris and the spectral line emission originating during the impact flash phase. During Phase II, we will: develop and benchmark advanced physics models that more accurately treat multi-phase phenomena in expanding debris clouds; further develop our radiation physics packages to support rapid material identification and determination of vapor conditions based on measured emission spectra; and validate shock physics and radiation physics models by benchmarking against data obtained in hypervelocity gas-gun experiments. Successful completion of this project will significantly benefit MDA-supported sensor development and kill assessment studies.

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

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